|
Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
|
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeCoursesOnline.Me].url |
133B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FreeTutorials.Eu].url |
129B |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| [FTU Forum].url |
1.34KB |
| 01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.en.vtt |
2.17KB |
| 01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.mp4 |
2.20MB |
| 01. 26 Spread Part 1-zb76Z_viYLY.ar.vtt |
1.14KB |
| 01. 26 Spread Part 1-zb76Z_viYLY.en.vtt |
898B |
| 01. 26 Spread Part 1-zb76Z_viYLY.mp4 |
1.82MB |
| 01. 26 Spread Part 1-zb76Z_viYLY.pt-BR.vtt |
889B |
| 01. 26 Spread Part 1-zb76Z_viYLY.zh-CN.vtt |
848B |
| 01. Admissions Case Study Introduction.html |
6.17KB |
| 01. Admissions Case Study Introduction-FGbxq1hQgtk.ar.vtt |
787B |
| 01. Admissions Case Study Introduction-FGbxq1hQgtk.en.vtt |
655B |
| 01. Admissions Case Study Introduction-FGbxq1hQgtk.mp4 |
2.09MB |
| 01. Admissions Case Study Introduction-FGbxq1hQgtk.pt-BR.vtt |
567B |
| 01. Admissions Case Study Introduction-FGbxq1hQgtk.zh-CN.vtt |
566B |
| 01. AIT M5L4A 01 Intro V1-BS4n9rRYGtw.mp4 |
5.98MB |
| 01. AITND TII 01 Recap Of Term 1 V1-uhIvBfhcyLM.mp4 |
17.30MB |
| 01. Bayes Rule.html |
8.72KB |
| 01. Bayes Rules-CohZnkZMOxE.ar.vtt |
896B |
| 01. Bayes Rules-CohZnkZMOxE.en.vtt |
714B |
| 01. Bayes Rules-CohZnkZMOxE.es-ES.vtt |
746B |
| 01. Bayes Rules-CohZnkZMOxE.it.vtt |
767B |
| 01. Bayes Rules-CohZnkZMOxE.ja.vtt |
902B |
| 01. Bayes Rules-CohZnkZMOxE.mp4 |
3.79MB |
| 01. Bayes Rules-CohZnkZMOxE.pt-BR.vtt |
695B |
| 01. Bayes Rules-CohZnkZMOxE.th.vtt |
1.00KB |
| 01. Bayes Rules-CohZnkZMOxE.zh-CN.vtt |
633B |
| 01. Binomial.html |
7.80KB |
| 01. Binomial-3koDdc9r73E.ar.vtt |
1.09KB |
| 01. Binomial-3koDdc9r73E.en.vtt |
839B |
| 01. Binomial-3koDdc9r73E.es-ES.vtt |
885B |
| 01. Binomial-3koDdc9r73E.ja.vtt |
835B |
| 01. Binomial-3koDdc9r73E.mp4 |
4.90MB |
| 01. Binomial-3koDdc9r73E.pt-BR.vtt |
864B |
| 01. Binomial-3koDdc9r73E.zh-CN.vtt |
759B |
| 01. Binomial-x1yamZeOMPY.ar.vtt |
493B |
| 01. Binomial-x1yamZeOMPY.en.vtt |
339B |
| 01. Binomial-x1yamZeOMPY.es-ES.vtt |
356B |
| 01. Binomial-x1yamZeOMPY.ja.vtt |
326B |
| 01. Binomial-x1yamZeOMPY.mp4 |
1.93MB |
| 01. Binomial-x1yamZeOMPY.pt-BR.vtt |
362B |
| 01. Binomial-x1yamZeOMPY.zh-CN.vtt |
302B |
| 01. Case Studies Intro.html |
8.82KB |
| 01. Case Study Introduction-J5uvdPxHIfs.en.vtt |
598B |
| 01. Case Study Introduction-J5uvdPxHIfs.mp4 |
2.13MB |
| 01. Case Study Introduction-J5uvdPxHIfs.pt-BR.vtt |
735B |
| 01. Case Study Introduction-J5uvdPxHIfs.zh-CN.vtt |
532B |
| 01. Coming soon!.html |
5.11KB |
| 01. Coming Soon!.html |
4.73KB |
| 01. Coming Soon!.html |
5.17KB |
| 01. Confidence Intervals Introduction-crleT4000ak.en.vtt |
1.67KB |
| 01. Confidence Intervals Introduction-crleT4000ak.mp4 |
2.78MB |
| 01. Confidence Intervals Introduction-crleT4000ak.pt-BR.vtt |
1.75KB |
| 01. Confidence Intervals Introduction-crleT4000ak.zh-CN.vtt |
1.34KB |
| 01. Designing a Trading Strategy.html |
6.02KB |
| 01. FAQ.html |
5.40KB |
| 01. Feature Extraction.html |
5.34KB |
| 01. Feature Extraction-Bd6TJB8eVLQ.en.vtt |
1.10KB |
| 01. Feature Extraction-Bd6TJB8eVLQ.mp4 |
2.26MB |
| 01. Feature Extraction-Bd6TJB8eVLQ.zh-CN.vtt |
970B |
| 01. Hypothesis Testing Introduction-Qi6F2rJAmrA.en.vtt |
617B |
| 01. Hypothesis Testing Introduction-Qi6F2rJAmrA.mp4 |
2.85MB |
| 01. Hypothesis Testing Introduction-Qi6F2rJAmrA.pt-BR.vtt |
582B |
| 01. Hypothesis Testing Introduction-Qi6F2rJAmrA.zh-CN.vtt |
532B |
| 01. Instructor.html |
8.54KB |
| 01. Instructor.html |
6.18KB |
| 01. Instructor.html |
5.15KB |
| 01. Instructor.html |
6.01KB |
| 01. Instructor.html |
8.54KB |
| 01. Instructors.html |
6.99KB |
| 01. Instructors.html |
6.52KB |
| 01. Instructors Introduction-lIvm8urf4GE.ar.vtt |
1.21KB |
| 01. Instructors Introduction-lIvm8urf4GE.en.vtt |
1.01KB |
| 01. Instructors Introduction-lIvm8urf4GE.mp4 |
2.88MB |
| 01. Instructors Introduction-lIvm8urf4GE.pt-BR.vtt |
953B |
| 01. Instructors Introduction-lIvm8urf4GE.zh-CN.vtt |
883B |
| 01. Intro.html |
5.34KB |
| 01. Intro.html |
5.45KB |
| 01. Intro.html |
6.68KB |
| 01. Intro.html |
5.79KB |
| 01. Intro.html |
5.52KB |
| 01. Intro.html |
6.00KB |
| 01. Intro.html |
5.75KB |
| 01. Intro.html |
6.75KB |
| 01. Intro.html |
6.12KB |
| 01. Intro.html |
5.01KB |
| 01. Intro.html |
6.87KB |
| 01. Intro.html |
6.15KB |
| 01. Intro.html |
6.64KB |
| 01. Intro Arpan-MW5MWOLj064.en.vtt |
1.23KB |
| 01. Intro Arpan-MW5MWOLj064.mp4 |
3.44MB |
| 01. Intro Arpan-MW5MWOLj064.zh-CN.vtt |
1.21KB |
| 01. Introduce Instructors.html |
8.26KB |
| 01. Introducing Arpan.html |
5.57KB |
| 01. Introduction.html |
6.88KB |
| 01. Introduction.html |
9.66KB |
| 01. Introduction.html |
8.99KB |
| 01. Introduction.html |
7.23KB |
| 01. Introduction.html |
8.45KB |
| 01. Introduction.html |
5.62KB |
| 01. Introduction.html |
9.89KB |
| 01. Introduction.html |
9.56KB |
| 01. Introduction.html |
6.85KB |
| 01. Introduction.html |
7.42KB |
| 01. Introduction-4F7SC0C6tfQ.ar.vtt |
3.00KB |
| 01. Introduction-4F7SC0C6tfQ.en.vtt |
2.35KB |
| 01. Introduction-4F7SC0C6tfQ.mp4 |
13.27MB |
| 01. Introduction-4F7SC0C6tfQ.pt-BR.vtt |
2.70KB |
| 01. Introduction-4F7SC0C6tfQ.zh-CN.vtt |
2.12KB |
| 01. Introduction-eUrvACMMJ5w.ar.vtt |
1.42KB |
| 01. Introduction-eUrvACMMJ5w.en.vtt |
944B |
| 01. Introduction-eUrvACMMJ5w.mp4 |
5.90MB |
| 01. Introduction-eUrvACMMJ5w.pt-BR.vtt |
1.07KB |
| 01. Introduction-eUrvACMMJ5w.zh-CN.vtt |
862B |
| 01. Introduction-p5L4rTV1Pgk.ar.vtt |
1.74KB |
| 01. Introduction-p5L4rTV1Pgk.en.vtt |
1.38KB |
| 01. Introduction-p5L4rTV1Pgk.mp4 |
8.85MB |
| 01. Introduction-p5L4rTV1Pgk.pt-BR.vtt |
1.51KB |
| 01. Introduction-p5L4rTV1Pgk.zh-CN.vtt |
1.24KB |
| 01. Introduction-SvdlBB-ZjcQ.ar.vtt |
1.19KB |
| 01. Introduction-SvdlBB-ZjcQ.en.vtt |
940B |
| 01. Introduction-SvdlBB-ZjcQ.mp4 |
2.75MB |
| 01. Introduction-SvdlBB-ZjcQ.pt-BR.vtt |
987B |
| 01. Introduction-SvdlBB-ZjcQ.zh-CN.vtt |
750B |
| 01. Introduction to Conditional Probability.html |
6.39KB |
| 01. Introduction to Conditional Probability-Ok8948Wcbmo.ar.vtt |
2.30KB |
| 01. Introduction to Conditional Probability-Ok8948Wcbmo.en.vtt |
1.73KB |
| 01. Introduction to Conditional Probability-Ok8948Wcbmo.mp4 |
6.54MB |
| 01. Introduction to Conditional Probability-Ok8948Wcbmo.pt-BR.vtt |
1.88KB |
| 01. Introduction to Conditional Probability-Ok8948Wcbmo.zh-CN.vtt |
1.53KB |
| 01. Introduction to Probability.html |
6.58KB |
| 01. Introduction to Probability-HeoQccoqfTk.ar.vtt |
1.37KB |
| 01. Introduction to Probability-HeoQccoqfTk.en.vtt |
1.06KB |
| 01. Introduction to Probability-HeoQccoqfTk.mp4 |
4.21MB |
| 01. Introduction to Probability-HeoQccoqfTk.pt-BR.vtt |
1.24KB |
| 01. Introduction to Probability-HeoQccoqfTk.zh-CN.vtt |
949B |
| 01. Introduction to Project 5.html |
4.87KB |
| 01. Intro Efficient Market hypothesis and Arbitrage opportunities.html |
11.10KB |
| 01. Intro Module 2.html |
4.86KB |
| 01. Intro Module 3.html |
7.21KB |
| 01. Intro Project 2.html |
5.06KB |
| 01. Intro Project 3.html |
5.09KB |
| 01. Intro Term II V2-jSK9Pr7wFQo.mp4 |
9.34MB |
| 01. Intro to Lesson.html |
7.32KB |
| 01. Intro to Project 1.html |
5.00KB |
| 01. Intro to RNNs.html |
7.81KB |
| 01. Intro to the Module.html |
5.76KB |
| 01. Kalman Filters and Linear Algebra.html |
8.62KB |
| 01. L2 01 Intro V2-utlPzT8MEsM.en.vtt |
1.78KB |
| 01. L2 01 Intro V2-utlPzT8MEsM.mp4 |
5.48MB |
| 01. L3 01 Intro V1-PxLJniuGyC0.en.vtt |
1.95KB |
| 01. L3 01 Intro V1-PxLJniuGyC0.mp4 |
6.94MB |
| 01. L4 01 Intro V1-CtIcmmR0YTs.en.vtt |
662B |
| 01. L4 01 Intro V1-CtIcmmR0YTs.mp4 |
2.17MB |
| 01. Linear Combination. Part 1.html |
5.75KB |
| 01. Linear Combinations 1-fmal7UE7dEE.en.vtt |
6.78KB |
| 01. Linear Combinations 1-fmal7UE7dEE.mp4 |
8.30MB |
| 01. Linear Combinations 1-fmal7UE7dEE.pt-BR.vtt |
7.01KB |
| 01. Linear Combinations 1-fmal7UE7dEE.zh-CN.vtt |
5.86KB |
| 01. M1L1 01 Welcome V1-W2R32yXgwcg.en.vtt |
1.37KB |
| 01. M1L1 01 Welcome V1-W2R32yXgwcg.mp4 |
7.13MB |
| 01. M1L2 01 Stocks V6-23sv5ey0ySs.en.vtt |
3.13KB |
| 01. M1L2 01 Stocks V6-23sv5ey0ySs.mp4 |
3.26MB |
| 01. M1L3 01 Intro V4-LE-4Xf8lzHk.en.vtt |
1.31KB |
| 01. M1L3 01 Intro V4-LE-4Xf8lzHk.mp4 |
3.53MB |
| 01. M1L4 01 Stock Data V2-sN0_IqmMGGA.en.vtt |
825B |
| 01. M1L4 01 Stock Data V2-sN0_IqmMGGA.mp4 |
2.12MB |
| 01. M1L5 01 Intro V2-mE8OOxkgzy8.en.vtt |
858B |
| 01. M1L5 01 Intro V2-mE8OOxkgzy8.mp4 |
2.20MB |
| 01. M1L5 02 Returns V6-PngIo6G73Z8.en.vtt |
2.42KB |
| 01. M1L5 02 Returns V6-PngIo6G73Z8.mp4 |
5.24MB |
| 01. M1L6 01 Designing A Trading Strategy V4-O7c6bPXBUsU.en.vtt |
1.94KB |
| 01. M1L6 01 Designing A Trading Strategy V4-O7c6bPXBUsU.mp4 |
4.20MB |
| 01. M2L2 01 Intro V1-OGx1aYHMgbs.en.vtt |
879B |
| 01. M2L2 01 Intro V1-OGx1aYHMgbs.mp4 |
2.12MB |
| 01. M2L3 01 Intro V4-C7vWJH05tKA.en.vtt |
2.41KB |
| 01. M2L3 01 Intro V4-C7vWJH05tKA.mp4 |
10.16MB |
| 01. M2L4 01 Time Series Modeling V4-QeIu7GMZl20.en.vtt |
2.10KB |
| 01. M2L4 01 Time Series Modeling V4-QeIu7GMZl20.mp4 |
3.52MB |
| 01. M2L5 01 What Is Volatility V3-brGVwpDSuG4.en.vtt |
4.23KB |
| 01. M2L5 01 What Is Volatility V3-brGVwpDSuG4.mp4 |
7.73MB |
| 01. M2L6 01 Intro V3-CQ6QGAxbUF8.en.vtt |
2.85KB |
| 01. M2L6 01 Intro V3-CQ6QGAxbUF8.mp4 |
7.39MB |
| 01. M4 01 Intro To Project 4 V1-7goOG7CdUjU.en.vtt |
2.42KB |
| 01. M4 01 Intro To Project 4 V1-7goOG7CdUjU.mp4 |
5.39MB |
| 01. M4 L1B 01 Intro To Lesson V1-ff0paDNA75U.en.vtt |
965B |
| 01. M4 L1B 01 Intro To Lesson V1-ff0paDNA75U.mp4 |
3.49MB |
| 01. M4 L2A 01 Intro V1-DgsD3yL9Yy0.en.vtt |
4.07KB |
| 01. M4 L2A 01 Intro V1-DgsD3yL9Yy0.mp4 |
10.80MB |
| 01. M4 L2A 12 Time Series Risk Model Factor Variance V2-hjVBXeZmA0w.en.vtt |
3.22KB |
| 01. M4 L2A 12 Time Series Risk Model Factor Variance V2-hjVBXeZmA0w.mp4 |
3.50MB |
| 01. M4 L2b 01 PCA Statistical Risk Model V1-lDxqJ0JYUzs.en.vtt |
1.94KB |
| 01. M4 L2b 01 PCA Statistical Risk Model V1-lDxqJ0JYUzs.mp4 |
6.97MB |
| 01. M4 L3a 01 Intro Efficient Market Hypothesis And Arbitrage Opportunities V3--YpXAt7zuh8.en.vtt |
3.99KB |
| 01. M4 L3a 01 Intro Efficient Market Hypothesis And Arbitrage Opportunities V3--YpXAt7zuh8.mp4 |
10.10MB |
| 01. M4 L3A 01 Intro To The Factors V2-OqhRUxHf6wo.en.vtt |
4.05KB |
| 01. M4 L3A 01 Intro To The Factors V2-OqhRUxHf6wo.mp4 |
13.54MB |
| 01. M4 L3b 01 Case Studies Intro V3-oWWrWbzDi2k.en.vtt |
2.39KB |
| 01. M4 L3b 01 Case Studies Intro V3-oWWrWbzDi2k.mp4 |
5.55MB |
| 01. M4 L4 01 Intro V1-9NzZFszX2E4.en.vtt |
1.23KB |
| 01. M4 L4 01 Intro V1-9NzZFszX2E4.mp4 |
3.44MB |
| 01. M4L51 HSA Word Embeddings V3 RENDER V1-ZsLhh1mly9k.en.vtt |
2.78KB |
| 01. M4L51 HSA Word Embeddings V3 RENDER V1-ZsLhh1mly9k.mp4 |
5.18MB |
| 01. M4L51 HSA Word Embeddings V3 RENDER V1-ZsLhh1mly9k.pt-BR.vtt |
2.98KB |
| 01. Market Data.html |
6.10KB |
| 01. Maximum Probability.html |
7.79KB |
| 01. Maximum Probability-5zkupL6EWh8.ar.vtt |
607B |
| 01. Maximum Probability-5zkupL6EWh8.en.vtt |
486B |
| 01. Maximum Probability-5zkupL6EWh8.es-ES.vtt |
529B |
| 01. Maximum Probability-5zkupL6EWh8.ja.vtt |
491B |
| 01. Maximum Probability-5zkupL6EWh8.mp4 |
1.27MB |
| 01. Maximum Probability-5zkupL6EWh8.pt-BR.vtt |
552B |
| 01. Maximum Probability-5zkupL6EWh8.zh-CN.vtt |
411B |
| 01. Maximum Probability-b2zvrFL8AUw.ar.vtt |
2.71KB |
| 01. Maximum Probability-b2zvrFL8AUw.en.vtt |
2.11KB |
| 01. Maximum Probability-b2zvrFL8AUw.es-ES.vtt |
2.17KB |
| 01. Maximum Probability-b2zvrFL8AUw.ja.vtt |
2.01KB |
| 01. Maximum Probability-b2zvrFL8AUw.mp4 |
21.97MB |
| 01. Maximum Probability-b2zvrFL8AUw.pt-BR.vtt |
2.58KB |
| 01. Maximum Probability-b2zvrFL8AUw.zh-CN.vtt |
1.75KB |
| 01. MLND SL DT 00 Intro V2-l34ijtQhVNk.en.vtt |
4.37KB |
| 01. MLND SL DT 00 Intro V2-l34ijtQhVNk.mp4 |
21.68MB |
| 01. MLND SL DT 00 Intro V2-l34ijtQhVNk.pt-BR.vtt |
4.25KB |
| 01. MLND SL DT 00 Intro V2-l34ijtQhVNk.zh-CN.vtt |
4.26KB |
| 01. MV 03 Transition To Project 01 V1-dcps5Bg4bZE.en.vtt |
3.50KB |
| 01. MV 03 Transition To Project 01 V1-dcps5Bg4bZE.mp4 |
10.22MB |
| 01. MV 05 Intro To Module 2 V1-92JzOXda9Q8.en.vtt |
1.69KB |
| 01. MV 05 Intro To Module 2 V1-92JzOXda9Q8.mp4 |
4.97MB |
| 01. MV 11 Intro To Module 03 Difficulties In Learning V1-kqjFkUVZwEc.en.vtt |
3.26KB |
| 01. MV 11 Intro To Module 03 Difficulties In Learning V1-kqjFkUVZwEc.mp4 |
9.55MB |
| 01. MV 12 Transition To Project 03 V1-ClzlNlWqMQI.en.vtt |
1.57KB |
| 01. MV 12 Transition To Project 03 V1-ClzlNlWqMQI.mp4 |
4.38MB |
| 01. MV 7 Transition To Project 02 1 V1-nkAcx2X_lfs.en.vtt |
3.30KB |
| 01. MV 7 Transition To Project 02 1 V1-nkAcx2X_lfs.mp4 |
9.82MB |
| 01. Naive Bayes Intro V2-vNOiQXghgRY.en.vtt |
716B |
| 01. Naive Bayes Intro V2-vNOiQXghgRY.mp4 |
3.22MB |
| 01. Naive Bayes Intro V2-vNOiQXghgRY.pt-BR.vtt |
690B |
| 01. Naive Bayes Intro V2-vNOiQXghgRY.zh-CN.vtt |
631B |
| 01. NLP Overview.html |
5.49KB |
| 01. Our Goal .html |
5.39KB |
| 01. Python Probability Introduction-tFMdvAN7WDY.ar.vtt |
684B |
| 01. Python Probability Introduction-tFMdvAN7WDY.en.vtt |
484B |
| 01. Python Probability Introduction-tFMdvAN7WDY.mp4 |
1.65MB |
| 01. Python Probability Introduction-tFMdvAN7WDY.pt-BR.vtt |
541B |
| 01. Python Probability Introduction-tFMdvAN7WDY.zh-CN.vtt |
441B |
| 01. Returns.html |
5.63KB |
| 01. Scripting-Qxe_gCiXUDg.ar.vtt |
885B |
| 01. Scripting-Qxe_gCiXUDg.en.vtt |
645B |
| 01. Scripting-Qxe_gCiXUDg.mp4 |
4.24MB |
| 01. Scripting-Qxe_gCiXUDg.pt-BR.vtt |
810B |
| 01. Scripting-Qxe_gCiXUDg.zh-CN.vtt |
569B |
| 01. Sentiment RNN, Introduction.html |
5.88KB |
| 01. Statistical Risk Model.html |
6.40KB |
| 01. Stocks.html |
5.23KB |
| 01. Text Processing.html |
5.64KB |
| 01. Text Processing-6LO6I5M18PQ.en.vtt |
1.18KB |
| 01. Text Processing-6LO6I5M18PQ.mp4 |
1.77MB |
| 01. Text Processing-6LO6I5M18PQ.pt-BR.vtt |
1.24KB |
| 01. Text Processing-6LO6I5M18PQ.zh-CN.vtt |
1.06KB |
| 01. Time Series Model Factor Variance.html |
7.00KB |
| 01. Time Series Modeling.html |
5.30KB |
| 01. Vectors 1-oPBz-MLVUHk.en.vtt |
4.61KB |
| 01. Vectors 1-oPBz-MLVUHk.mp4 |
4.88MB |
| 01. Vectors 1-oPBz-MLVUHk.pt-BR.vtt |
4.42KB |
| 01. Vectors 1-oPBz-MLVUHk.zh-CN.vtt |
3.98KB |
| 01. Video Introduction.html |
7.19KB |
| 01. Video What are Measures of Spread.html |
9.60KB |
| 01. Welcome!.html |
6.13KB |
| 01. Welcome!.html |
4.54KB |
| 01. Welcome!.html |
12.10KB |
| 01. Welcome to Computer Vision.html |
6.63KB |
| 01. Welcome to Computer Vision-GgA3_-MMT_I.en.vtt |
1.90KB |
| 01. Welcome to Computer Vision-GgA3_-MMT_I.mp4 |
7.77MB |
| 01. Welcome to Computer Vision-GgA3_-MMT_I.zh-CN.vtt |
1.70KB |
| 01. Welcome To Linear Regression-zxZkTkM34BY.en.vtt |
1.15KB |
| 01. Welcome To Linear Regression-zxZkTkM34BY.mp4 |
3.90MB |
| 01. Welcome To Linear Regression-zxZkTkM34BY.pt-BR.vtt |
1.21KB |
| 01. Welcome to NLP-g-AlFF61p0I.en.vtt |
1.64KB |
| 01. Welcome to NLP-g-AlFF61p0I.mp4 |
4.97MB |
| 01. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt |
1.49KB |
| 01. What's a Vector.html |
6.11KB |
| 01. What is a Matrix.html |
8.36KB |
| 01. What is Volatility.html |
5.85KB |
| 01. What It Takes.html |
5.49KB |
| 01. Word Embeddings.html |
6.31KB |
| 01. 矩阵介绍-Ugx3mldc0lE.en.vtt |
1.03KB |
| 01. 矩阵介绍-Ugx3mldc0lE.mp4 |
4.15MB |
| 01. 矩阵介绍-Ugx3mldc0lE.zh-CN.vtt |
1.02KB |
| 02. 02. What Is Vision-_99V1rUNFa4.en.vtt |
2.02KB |
| 02. 02. What Is Vision-_99V1rUNFa4.mp4 |
6.75MB |
| 02. 02. What Is Vision-_99V1rUNFa4.zh-CN.vtt |
1.79KB |
| 02. AB Testing.html |
8.25KB |
| 02. AB Testing-EcWvhbIjT9o.en.vtt |
3.08KB |
| 02. AB Testing-EcWvhbIjT9o.mp4 |
6.32MB |
| 02. AB Testing-EcWvhbIjT9o.pt-BR.vtt |
3.61KB |
| 02. AB Testing-EcWvhbIjT9o.zh-CN.vtt |
2.58KB |
| 02. Admissions 1.html |
8.81KB |
| 02. Admissions 1-CLgVLQAEYw8.ar.vtt |
1.42KB |
| 02. Admissions 1-CLgVLQAEYw8.en.vtt |
1.08KB |
| 02. Admissions 1-CLgVLQAEYw8.es-ES.vtt |
1.17KB |
| 02. Admissions 1-CLgVLQAEYw8.hr.vtt |
1.05KB |
| 02. Admissions 1-CLgVLQAEYw8.it.vtt |
1.11KB |
| 02. Admissions 1-CLgVLQAEYw8.ja.vtt |
1.08KB |
| 02. Admissions 1-CLgVLQAEYw8.mp4 |
7.61MB |
| 02. Admissions 1-CLgVLQAEYw8.pt-BR.vtt |
1.28KB |
| 02. Admissions 1-CLgVLQAEYw8.pt-PT.vtt |
1.14KB |
| 02. Admissions 1-CLgVLQAEYw8.tr.vtt |
1.14KB |
| 02. Admissions 1-CLgVLQAEYw8.zh-CN.vtt |
1.05KB |
| 02. Admissions 1-CLgVLQAEYw8.zh-Hans.vtt |
1.09KB |
| 02. Admissions 1-f3y_weFskL4.ar.vtt |
99B |
| 02. Admissions 1-f3y_weFskL4.en.vtt |
88B |
| 02. Admissions 1-f3y_weFskL4.es-ES.vtt |
95B |
| 02. Admissions 1-f3y_weFskL4.hr.vtt |
87B |
| 02. Admissions 1-f3y_weFskL4.it.vtt |
89B |
| 02. Admissions 1-f3y_weFskL4.ja.vtt |
100B |
| 02. Admissions 1-f3y_weFskL4.mp4 |
323.09KB |
| 02. Admissions 1-f3y_weFskL4.pt-BR.vtt |
101B |
| 02. Admissions 1-f3y_weFskL4.pt-PT.vtt |
89B |
| 02. Admissions 1-f3y_weFskL4.tr.vtt |
81B |
| 02. Admissions 1-f3y_weFskL4.zh-CN.vtt |
94B |
| 02. Admissions 1-f3y_weFskL4.zh-Hans.vtt |
98B |
| 02. AIT M5L4A 02 Financial Statement V6-XYff0ROHzWo.mp4 |
20.45MB |
| 02. AITND TII 02 Overview Of Term 2 V1-dVz-lVGvadY.mp4 |
10.32MB |
| 02. Arithmetic Operators.html |
10.18KB |
| 02. Arithmetic Operators-M8TIOK2P2yw.ar.vtt |
4.67KB |
| 02. Arithmetic Operators-M8TIOK2P2yw.en.vtt |
3.42KB |
| 02. Arithmetic Operators-M8TIOK2P2yw.mp4 |
11.07MB |
| 02. Arithmetic Operators-M8TIOK2P2yw.pt-BR.vtt |
3.70KB |
| 02. Arithmetic Operators-M8TIOK2P2yw.zh-CN.vtt |
2.97KB |
| 02. Autoregressive Models.html |
5.31KB |
| 02. Bag of Words.html |
5.42KB |
| 02. Bag Of Words-A7M1z8yLl0w.en.vtt |
4.72KB |
| 02. Bag Of Words-A7M1z8yLl0w.mp4 |
4.01MB |
| 02. Bag Of Words-A7M1z8yLl0w.pt-BR.vtt |
5.04KB |
| 02. Bag Of Words-A7M1z8yLl0w.zh-CN.vtt |
4.13KB |
| 02. Cancer Test.html |
11.23KB |
| 02. Cancer Test-CNpSrdnYvbo.ar.vtt |
4.48KB |
| 02. Cancer Test-CNpSrdnYvbo.en.vtt |
3.25KB |
| 02. Cancer Test-CNpSrdnYvbo.es-ES.vtt |
3.44KB |
| 02. Cancer Test-CNpSrdnYvbo.it.vtt |
3.45KB |
| 02. Cancer Test-CNpSrdnYvbo.ja.vtt |
3.28KB |
| 02. Cancer Test-CNpSrdnYvbo.mp4 |
18.01MB |
| 02. Cancer Test-CNpSrdnYvbo.pt-BR.vtt |
3.05KB |
| 02. Cancer Test-CNpSrdnYvbo.th.vtt |
5.13KB |
| 02. Cancer Test-CNpSrdnYvbo.zh-CN.vtt |
3.06KB |
| 02. Cancer Test-FnNveASivMA.ar.vtt |
1.32KB |
| 02. Cancer Test-FnNveASivMA.en.vtt |
1.05KB |
| 02. Cancer Test-FnNveASivMA.es-ES.vtt |
1.07KB |
| 02. Cancer Test-FnNveASivMA.it.vtt |
1.08KB |
| 02. Cancer Test-FnNveASivMA.ja.vtt |
1018B |
| 02. Cancer Test-FnNveASivMA.mp4 |
2.08MB |
| 02. Cancer Test-FnNveASivMA.pt-BR.vtt |
1014B |
| 02. Cancer Test-FnNveASivMA.th.vtt |
1.94KB |
| 02. Cancer Test-FnNveASivMA.zh-CN.vtt |
978B |
| 02. Conditional Statements.html |
16.48KB |
| 02. Default Arguments-cG6UfBZX2KI.ar.vtt |
2.72KB |
| 02. Default Arguments-cG6UfBZX2KI.en.vtt |
2.05KB |
| 02. Default Arguments-cG6UfBZX2KI.mp4 |
5.64MB |
| 02. Default Arguments-cG6UfBZX2KI.pt-BR.vtt |
2.40KB |
| 02. Default Arguments-cG6UfBZX2KI.zh-CN.vtt |
1.81KB |
| 02. Defining Functions.html |
14.76KB |
| 02. Defining Functions-IP_tJYhynbc.ar.vtt |
6.65KB |
| 02. Defining Functions-IP_tJYhynbc.en.vtt |
5.39KB |
| 02. Defining Functions-IP_tJYhynbc.mp4 |
15.48MB |
| 02. Defining Functions-IP_tJYhynbc.pt-BR.vtt |
5.95KB |
| 02. Defining Functions-IP_tJYhynbc.zh-CN.vtt |
4.76KB |
| 02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.ar.vtt |
4.74KB |
| 02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.en.vtt |
3.22KB |
| 02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.mp4 |
6.17MB |
| 02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.pt-BR.vtt |
3.51KB |
| 02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.zh-CN.vtt |
2.74KB |
| 02. Distributions.html |
6.25KB |
| 02. Diversification.html |
6.05KB |
| 02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.en.vtt |
1.36KB |
| 02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.mp4 |
1.48MB |
| 02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.pt-BR.vtt |
1.46KB |
| 02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.zh-CN.vtt |
1.26KB |
| 02. Embedding Weight MatrixLookup Table.html |
6.38KB |
| 02. Exercise Text Processing .html |
6.08KB |
| 02. Farmers' Market.html |
5.39KB |
| 02. Financial Statements.html |
6.93KB |
| 02. Flipping Coins.html |
9.14KB |
| 02. Flipping Coins-lgUDXtUyLLg.ar.vtt |
799B |
| 02. Flipping Coins-lgUDXtUyLLg.en.vtt |
635B |
| 02. Flipping Coins-lgUDXtUyLLg.es-ES.vtt |
686B |
| 02. Flipping Coins-lgUDXtUyLLg.hr.vtt |
637B |
| 02. Flipping Coins-lgUDXtUyLLg.it.vtt |
695B |
| 02. Flipping Coins-lgUDXtUyLLg.ja.vtt |
617B |
| 02. Flipping Coins-lgUDXtUyLLg.mp4 |
4.62MB |
| 02. Flipping Coins-lgUDXtUyLLg.pt-BR.vtt |
570B |
| 02. Flipping Coins-lgUDXtUyLLg.ru.vtt |
617B |
| 02. Flipping Coins-lgUDXtUyLLg.th.vtt |
1.15KB |
| 02. Flipping Coins-lgUDXtUyLLg.zh-CN.vtt |
536B |
| 02. Flipping Coins-OpNufHYgJCg.ar.vtt |
2.01KB |
| 02. Flipping Coins-OpNufHYgJCg.en.vtt |
1.47KB |
| 02. Flipping Coins-OpNufHYgJCg.es-ES.vtt |
1.55KB |
| 02. Flipping Coins-OpNufHYgJCg.hr.vtt |
1.50KB |
| 02. Flipping Coins-OpNufHYgJCg.it.vtt |
1.64KB |
| 02. Flipping Coins-OpNufHYgJCg.ja.vtt |
1.32KB |
| 02. Flipping Coins-OpNufHYgJCg.mp4 |
11.32MB |
| 02. Flipping Coins-OpNufHYgJCg.pt-BR.vtt |
1.33KB |
| 02. Flipping Coins-OpNufHYgJCg.th.vtt |
2.84KB |
| 02. Flipping Coins-OpNufHYgJCg.zh-CN.vtt |
1.34KB |
| 02. Guess the Person.html |
6.22KB |
| 02. Heads Tails.html |
7.85KB |
| 02. Heads Tails-iyX0-eXStbw.ar.vtt |
472B |
| 02. Heads Tails-iyX0-eXStbw.en.vtt |
341B |
| 02. Heads Tails-iyX0-eXStbw.es-ES.vtt |
357B |
| 02. Heads Tails-iyX0-eXStbw.ja.vtt |
300B |
| 02. Heads Tails-iyX0-eXStbw.mp4 |
1.08MB |
| 02. Heads Tails-iyX0-eXStbw.pt-BR.vtt |
375B |
| 02. Heads Tails-iyX0-eXStbw.zh-CN.vtt |
309B |
| 02. Heads Tails-yo55zJtJQwo.ar.vtt |
141B |
| 02. Heads Tails-yo55zJtJQwo.en.vtt |
118B |
| 02. Heads Tails-yo55zJtJQwo.es-ES.vtt |
125B |
| 02. Heads Tails-yo55zJtJQwo.ja.vtt |
139B |
| 02. Heads Tails-yo55zJtJQwo.mp4 |
1.03MB |
| 02. Heads Tails-yo55zJtJQwo.pt-BR.vtt |
158B |
| 02. Heads Tails-yo55zJtJQwo.zh-CN.vtt |
117B |
| 02. Histograms-4t10RgUv2Fc.ar.vtt |
2.27KB |
| 02. Histograms-4t10RgUv2Fc.en.vtt |
1.61KB |
| 02. Histograms-4t10RgUv2Fc.mp4 |
2.57MB |
| 02. Histograms-4t10RgUv2Fc.pt-BR.vtt |
1.75KB |
| 02. Histograms-4t10RgUv2Fc.zh-CN.vtt |
1.38KB |
| 02. Historical Volatility.html |
5.86KB |
| 02. Hypothesis Testing.html |
8.80KB |
| 02. Hypothesis Testing-9GbHHpiK6wk.en.vtt |
2.52KB |
| 02. Hypothesis Testing-9GbHHpiK6wk.mp4 |
10.68MB |
| 02. Hypothesis Testing-9GbHHpiK6wk.pt-BR.vtt |
2.42KB |
| 02. Hypothesis Testing-9GbHHpiK6wk.zh-CN.vtt |
2.26KB |
| 02. If Elif and Else-KZubH5XT0eU.ar.vtt |
4.12KB |
| 02. If Elif and Else-KZubH5XT0eU.en.vtt |
2.83KB |
| 02. If Elif and Else-KZubH5XT0eU.mp4 |
18.28MB |
| 02. If Elif and Else-KZubH5XT0eU.pt-BR.vtt |
3.18KB |
| 02. If Elif and Else-KZubH5XT0eU.zh-CN.vtt |
2.50KB |
| 02. If Statements-jWiIUMrwPqA.ar.vtt |
3.99KB |
| 02. If Statements-jWiIUMrwPqA.en.vtt |
2.70KB |
| 02. If Statements-jWiIUMrwPqA.mp4 |
16.99MB |
| 02. If Statements-jWiIUMrwPqA.pt-BR.vtt |
3.11KB |
| 02. If Statements-jWiIUMrwPqA.zh-CN.vtt |
2.32KB |
| 02. Indentation-G8qUNOTHtrM.ar.vtt |
1.54KB |
| 02. Indentation-G8qUNOTHtrM.en.vtt |
1.09KB |
| 02. Indentation-G8qUNOTHtrM.mp4 |
7.65MB |
| 02. Indentation-G8qUNOTHtrM.pt-BR.vtt |
1.31KB |
| 02. Indentation-G8qUNOTHtrM.zh-CN.vtt |
1007B |
| 02. install libraries.html |
8.83KB |
| 02. install libraries.html |
13.16KB |
| 02. install libraries.html |
10.35KB |
| 02. Instructors.html |
6.76KB |
| 02. Introduction.html |
8.38KB |
| 02. Introduction.html |
8.09KB |
| 02. Introduction.html |
8.38KB |
| 02. Introduction-tn-CrUTkCUc.en.vtt |
3.28KB |
| 02. Introduction-tn-CrUTkCUc.en.vtt |
3.28KB |
| 02. Introduction-tn-CrUTkCUc.mp4 |
7.54MB |
| 02. Introduction-tn-CrUTkCUc.mp4 |
7.54MB |
| 02. Introduction-tn-CrUTkCUc.pt-BR.vtt |
3.09KB |
| 02. Introduction-tn-CrUTkCUc.pt-BR.vtt |
3.09KB |
| 02. Introduction-tn-CrUTkCUc.zh-CN.vtt |
2.84KB |
| 02. Introduction-tn-CrUTkCUc.zh-CN.vtt |
2.84KB |
| 02. Introduction to NumPy.html |
8.70KB |
| 02. Introduction to Pandas.html |
8.47KB |
| 02. Introduction-XZL934YQ-FQ.en.vtt |
1.89KB |
| 02. Introduction-XZL934YQ-FQ.es.vtt |
2.08KB |
| 02. Introduction-XZL934YQ-FQ.es-ES.vtt |
2.08KB |
| 02. Introduction-XZL934YQ-FQ.ja.vtt |
2.12KB |
| 02. Introduction-XZL934YQ-FQ.mp4 |
10.68MB |
| 02. Introduction-XZL934YQ-FQ.pt.vtt |
1.99KB |
| 02. Introduction-XZL934YQ-FQ.pt-PT.vtt |
1.99KB |
| 02. Introduction-XZL934YQ-FQ.ru.vtt |
3.29KB |
| 02. Introduction-XZL934YQ-FQ.zh-CN.vtt |
1.78KB |
| 02. Intro to the Lesson.html |
5.71KB |
| 02. Intro to this lesson.html |
7.64KB |
| 02. Jonathan Larkin - What Is A Quant-G22oM0qv0Hs.en.vtt |
4.11KB |
| 02. Jonathan Larkin - What Is A Quant-G22oM0qv0Hs.mp4 |
14.19MB |
| 02. Jupyter-qiYDWFLyXvg.ar.vtt |
3.41KB |
| 02. Jupyter-qiYDWFLyXvg.en.vtt |
2.70KB |
| 02. Jupyter-qiYDWFLyXvg.mp4 |
7.12MB |
| 02. Jupyter-qiYDWFLyXvg.pt-BR.vtt |
2.41KB |
| 02. Jupyter-qiYDWFLyXvg.zh-CN.vtt |
2.64KB |
| 02. L1 00 Intro V2-JA4WBd6sHF4.en.vtt |
1.35KB |
| 02. L1 00 Intro V2-JA4WBd6sHF4.mp4 |
3.78MB |
| 02. L1 01 Intro V3-yyNtiUyI5Tw.ar.vtt |
1.02KB |
| 02. L1 01 Intro V3-yyNtiUyI5Tw.en.vtt |
806B |
| 02. L1 01 Intro V3-yyNtiUyI5Tw.mp4 |
5.21MB |
| 02. L1 01 Intro V3-yyNtiUyI5Tw.pt-BR.vtt |
1021B |
| 02. L1 01 Intro V3-yyNtiUyI5Tw.zh-CN.vtt |
745B |
| 02. L1 01 Stocks V2-XHo5iyxDxOQ.en.vtt |
2.22KB |
| 02. L1 01 Stocks V2-XHo5iyxDxOQ.mp4 |
6.30MB |
| 02. L2 12 Shortcomings Of Mutual Funds V2-oEqsaex31Qg.en.vtt |
1.96KB |
| 02. L2 12 Shortcomings Of Mutual Funds V2-oEqsaex31Qg.mp4 |
5.62MB |
| 02. L3 02 Diversification V3-tyzqlXddXd8.en.vtt |
2.87KB |
| 02. L3 02 Diversification V3-tyzqlXddXd8.mp4 |
5.67MB |
| 02. L4 02 What Is Optimization V2-ISRlP1GeOjU.en.vtt |
3.11KB |
| 02. L4 02 What Is Optimization V2-ISRlP1GeOjU.mp4 |
4.97MB |
| 02. Linear Combination. Part 2.html |
5.75KB |
| 02. Linear Combinations 2-RsKJNDTb8nw.en.vtt |
7.21KB |
| 02. Linear Combinations 2-RsKJNDTb8nw.mp4 |
14.17MB |
| 02. Linear Combinations 2-RsKJNDTb8nw.pt-BR.vtt |
7.04KB |
| 02. Linear Combinations 2-RsKJNDTb8nw.zh-CN.vtt |
6.36KB |
| 02. M1L1 02 Interview W Jonathan V1-AeranuDRL7k.en.vtt |
851B |
| 02. M1L1 02 Interview W Jonathan V1-AeranuDRL7k.mp4 |
1.98MB |
| 02. M1L2 01 Stock Pt II V1-SGb54HLbk1g.en.vtt |
4.02KB |
| 02. M1L2 01 Stock Pt II V1-SGb54HLbk1g.mp4 |
3.76MB |
| 02. M1L2 02 Stock Prices V7-l_PilXVuh8I.en.vtt |
4.99KB |
| 02. M1L2 02 Stock Prices V7-l_PilXVuh8I.mp4 |
6.68MB |
| 02. M1L3 02 Farmers Market V3-i_itXOdetCc.en.vtt |
1.96KB |
| 02. M1L3 02 Farmers Market V3-i_itXOdetCc.mp4 |
7.58MB |
| 02. M1L4 02 Market Data V5-9aEp374GsgQ.en.vtt |
2.28KB |
| 02. M1L4 02 Market Data V5-9aEp374GsgQ.mp4 |
2.73MB |
| 02. M1L6 02 Momentumbased Signals V4-RedwbmYg6e4.en.vtt |
2.68KB |
| 02. M1L6 02 Momentumbased Signals V4-RedwbmYg6e4.mp4 |
5.75MB |
| 02. M2L1 01 Starting From A Hypothesis V3-yjlt4yerB9I.en.vtt |
4.60KB |
| 02. M2L1 01 Starting From A Hypothesis V3-yjlt4yerB9I.mp4 |
7.32MB |
| 02. M2L2 02 Sources Of Outliers V8-gXKhKQ2_TaA.en.vtt |
7.10KB |
| 02. M2L2 02 Sources Of Outliers V8-gXKhKQ2_TaA.mp4 |
15.13MB |
| 02. M2L3 02 Distributions V2-ZlRGxq5I9BU.en.vtt |
2.88KB |
| 02. M2L3 02 Distributions V2-ZlRGxq5I9BU.mp4 |
6.13MB |
| 02. M2L4 02 Autoregressive Models V5-9jE7S4b-oIU.en.vtt |
4.31KB |
| 02. M2L4 02 Autoregressive Models V5-9jE7S4b-oIU.mp4 |
4.42MB |
| 02. M2L5 02 Historical Volatility V3-BOPhsYLHkUU.en.vtt |
4.04KB |
| 02. M2L5 02 Historical Volatility V3-BOPhsYLHkUU.mp4 |
7.30MB |
| 02. M2L6 02 Mean Reversion V5-zQ08lFcZa_A.en.vtt |
3.33KB |
| 02. M2L6 02 Mean Reversion V5-zQ08lFcZa_A.mp4 |
3.97MB |
| 02. M4 L1A 02 Intro V2-W7_llXQ2GhA.en.vtt |
5.09KB |
| 02. M4 L1A 02 Intro V2-W7_llXQ2GhA.mp4 |
19.76MB |
| 02. M4 L1B 02 What Is A Factor Model V4-K5QKPwU38Do.en.vtt |
3.79KB |
| 02. M4 L1B 02 What Is A Factor Model V4-K5QKPwU38Do.mp4 |
14.18MB |
| 02. M4 L2A 13 Time Series Risk Model Factor Exposure V4-WPBSMptBrfw.en.vtt |
2.34KB |
| 02. M4 L2A 13 Time Series Risk Model Factor Exposure V4-WPBSMptBrfw.mp4 |
2.16MB |
| 02. M4 L2b 02 Vector Two Ways V3-mlw6FnCUloU.en.vtt |
1.65KB |
| 02. M4 L2b 02 Vector Two Ways V3-mlw6FnCUloU.mp4 |
3.94MB |
| 02. M4 L4 02 Setting Up The Problem Alphas V5-6GeyU-thC4U.en.vtt |
2.52KB |
| 02. M4 L4 02 Setting Up The Problem Alphas V5-6GeyU-thC4U.mp4 |
6.71MB |
| 02. M4L52 HSA Embedding Weight Matrix V3 RENDER V2-KVCcG5v8fi0.en.vtt |
4.51KB |
| 02. M4L52 HSA Embedding Weight Matrix V3 RENDER V2-KVCcG5v8fi0.mp4 |
5.99MB |
| 02. M4L52 HSA Embedding Weight Matrix V3 RENDER V2-KVCcG5v8fi0.pt-BR.vtt |
4.58KB |
| 02. Matrix Addition.html |
8.73KB |
| 02. Mean Reversion.html |
10.39KB |
| 02. Medical Example 1.html |
8.39KB |
| 02. Medical Example 1-E1ph6NP3_v4.ar.vtt |
132B |
| 02. Medical Example 1-E1ph6NP3_v4.en.vtt |
119B |
| 02. Medical Example 1-E1ph6NP3_v4.es-ES.vtt |
125B |
| 02. Medical Example 1-E1ph6NP3_v4.it.vtt |
138B |
| 02. Medical Example 1-E1ph6NP3_v4.ja.vtt |
141B |
| 02. Medical Example 1-E1ph6NP3_v4.mp4 |
747.17KB |
| 02. Medical Example 1-E1ph6NP3_v4.pt-BR.vtt |
146B |
| 02. Medical Example 1-E1ph6NP3_v4.th.vtt |
164B |
| 02. Medical Example 1-E1ph6NP3_v4.zh-CN.vtt |
118B |
| 02. Medical Example 1-mFfbts1lAEo.ar.vtt |
558B |
| 02. Medical Example 1-mFfbts1lAEo.en.vtt |
427B |
| 02. Medical Example 1-mFfbts1lAEo.es-ES.vtt |
466B |
| 02. Medical Example 1-mFfbts1lAEo.it.vtt |
422B |
| 02. Medical Example 1-mFfbts1lAEo.ja.vtt |
444B |
| 02. Medical Example 1-mFfbts1lAEo.mp4 |
2.69MB |
| 02. Medical Example 1-mFfbts1lAEo.pt-BR.vtt |
498B |
| 02. Medical Example 1-mFfbts1lAEo.th.vtt |
813B |
| 02. Medical Example 1-mFfbts1lAEo.zh-CN.vtt |
341B |
| 02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.en.vtt |
1.66KB |
| 02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.mp4 |
4.80MB |
| 02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.pt-BR.vtt |
1.68KB |
| 02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.zh-CN.vtt |
1.53KB |
| 02. Momentum-based Signals.html |
5.99KB |
| 02. NLP Overview.html |
5.57KB |
| 02. Overview of Term II.html |
4.56KB |
| 02. Pre-Notebook.html |
8.60KB |
| 02. Pre-Notebook Sentiment RNN.html |
8.14KB |
| 02. Project Description.html |
5.42KB |
| 02. Project Description.html |
5.12KB |
| 02. Project Description.html |
5.44KB |
| 02. Project Description.html |
5.33KB |
| 02. Project Description.html |
5.00KB |
| 02. Python Installation.html |
10.97KB |
| 02. Python Installation-2_P05aYChqQ.ar.vtt |
2.24KB |
| 02. Python Installation-2_P05aYChqQ.en.vtt |
1.76KB |
| 02. Python Installation-2_P05aYChqQ.mp4 |
6.71MB |
| 02. Python Installation-2_P05aYChqQ.pt-BR.vtt |
2.12KB |
| 02. Python Installation-2_P05aYChqQ.zh-CN.vtt |
1.64KB |
| 02. Quiz Calculate Returns.html |
5.62KB |
| 02. Quiz Housing Prices.html |
8.16KB |
| 02. Recommending Apps 1.html |
9.87KB |
| 02. Reviews.html |
5.35KB |
| 02. RNN vs LSTM.html |
6.64KB |
| 02. RNN Vs LSTM-70MgF-IwAr8.en.vtt |
4.71KB |
| 02. RNN Vs LSTM-70MgF-IwAr8.mp4 |
3.58MB |
| 02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt |
4.24KB |
| 02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt |
4.22KB |
| 02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.en.vtt |
2.26KB |
| 02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.mp4 |
4.66MB |
| 02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.pt-BR.vtt |
2.41KB |
| 02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.zh-CN.vtt |
1.83KB |
| 02. Setting Up the Problem Alphas.html |
6.24KB |
| 02. Shape.html |
8.20KB |
| 02. Shape-DjsL64Kjr1Q.ar.vtt |
2.60KB |
| 02. Shape-DjsL64Kjr1Q.en.vtt |
1.85KB |
| 02. Shape-DjsL64Kjr1Q.es-ES.vtt |
1.85KB |
| 02. Shape-DjsL64Kjr1Q.ja.vtt |
1.78KB |
| 02. Shape-DjsL64Kjr1Q.mp4 |
11.18MB |
| 02. Shape-DjsL64Kjr1Q.pt-BR.vtt |
1.97KB |
| 02. Shape-DjsL64Kjr1Q.zh-CN.vtt |
1.60KB |
| 02. Shape-w5qcGO8krMw.ar.vtt |
1002B |
| 02. Shape-w5qcGO8krMw.en.vtt |
790B |
| 02. Shape-w5qcGO8krMw.es-ES.vtt |
817B |
| 02. Shape-w5qcGO8krMw.ja.vtt |
748B |
| 02. Shape-w5qcGO8krMw.mp4 |
1.62MB |
| 02. Shape-w5qcGO8krMw.pt-BR.vtt |
848B |
| 02. Shape-w5qcGO8krMw.zh-CN.vtt |
644B |
| 02. Shortcomings of Mutual Funds.html |
5.63KB |
| 02. Simulating Coin Flips.html |
6.69KB |
| 02. Simulating Coin Flips-7YtQNZ3iy6o.ar.vtt |
4.92KB |
| 02. Simulating Coin Flips-7YtQNZ3iy6o.en.vtt |
3.60KB |
| 02. Simulating Coin Flips-7YtQNZ3iy6o.mp4 |
3.84MB |
| 02. Simulating Coin Flips-7YtQNZ3iy6o.pt-BR.vtt |
3.91KB |
| 02. Simulating Coin Flips-7YtQNZ3iy6o.zh-CN.vtt |
3.18KB |
| 02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.en.vtt |
3.40KB |
| 02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4 |
8.49MB |
| 02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.pt-BR.vtt |
3.25KB |
| 02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.zh-CN.vtt |
3.00KB |
| 02. Sources of Outliers.html |
5.52KB |
| 02. Starting from a Hypothesis.html |
4.91KB |
| 02. Stock Prices.html |
8.20KB |
| 02. Structured Languages.html |
8.55KB |
| 02. Structured Languages-NsmqUIHlk6U.en.vtt |
1.79KB |
| 02. Structured Languages-NsmqUIHlk6U.mp4 |
5.36MB |
| 02. Structured Languages-NsmqUIHlk6U.zh-CN.vtt |
1.51KB |
| 02. Support.html |
5.01KB |
| 02. Text Optional Lessons Note.html |
8.53KB |
| 02. Time Series Model Factor Exposure.html |
6.93KB |
| 02. Training Optimization.html |
6.19KB |
| 02. Training Optimization-UiGKhx9pUYc.en.vtt |
824B |
| 02. Training Optimization-UiGKhx9pUYc.mp4 |
2.96MB |
| 02. Training Optimization-UiGKhx9pUYc.pt-BR.vtt |
874B |
| 02. Training Optimization-UiGKhx9pUYc.zh-CN.vtt |
840B |
| 02. Unsupervised Learning.html |
6.55KB |
| 02. Unsupervised Learning-Mx9f99bRB3Q.ar.vtt |
4.39KB |
| 02. Unsupervised Learning-Mx9f99bRB3Q.en.vtt |
3.21KB |
| 02. Unsupervised Learning-Mx9f99bRB3Q.mp4 |
12.68MB |
| 02. Unsupervised Learning-Mx9f99bRB3Q.pt-BR.vtt |
3.15KB |
| 02. Unsupervised Learning-Mx9f99bRB3Q.zh-CN.vtt |
2.67KB |
| 02. Vectors, what even are they Part 2.html |
6.15KB |
| 02. Vectors 2-R7WiQYixvRQ.en.vtt |
2.82KB |
| 02. Vectors 2-R7WiQYixvRQ.mp4 |
2.52MB |
| 02. Vectors 2-R7WiQYixvRQ.pt-BR.vtt |
2.55KB |
| 02. Vectors 2-R7WiQYixvRQ.zh-CN.vtt |
2.29KB |
| 02. Vectors Two Ways.html |
6.35KB |
| 02. Video Descriptive vs. Inferential Statistics.html |
9.73KB |
| 02. Video From Sampling Distributions to Confidence Intervals.html |
8.17KB |
| 02. Video Histograms.html |
9.39KB |
| 02. Welcome to NLP-g-AlFF61p0I.en.vtt |
1.64KB |
| 02. Welcome to NLP-g-AlFF61p0I.mp4 |
4.97MB |
| 02. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt |
1.49KB |
| 02. Welcome to the Course!.html |
5.83KB |
| 02. What are Jupyter notebooks.html |
12.27KB |
| 02. What is a Factor Model.html |
7.36KB |
| 02. What is a Quant.html |
5.92KB |
| 02. What is Optimization.html |
9.24KB |
| 02. What is Vision.html |
7.45KB |
| 02. When to Use Time Stamps.html |
7.26KB |
| 03. 03. Role In AI Render-xm1TXnNe5Pw.en.vtt |
1.43KB |
| 03. 03. Role In AI Render-xm1TXnNe5Pw.mp4 |
4.60MB |
| 03. 03. Role In AI Render-xm1TXnNe5Pw.zh-CN.vtt |
1.32KB |
| 03. 10-K Walkthrough.html |
6.90KB |
| 03. 3 Word2Vec Notebook V2-4cWzv3YiF_w.en.vtt |
6.87KB |
| 03. 3 Word2Vec Notebook V2-4cWzv3YiF_w.mp4 |
7.12MB |
| 03. 3 Word2Vec Notebook V2-4cWzv3YiF_w.pt-BR.vtt |
7.08KB |
| 03. AB Testing.html |
10.22KB |
| 03. Admissions 2.html |
8.48KB |
| 03. Admissions 2-o91iPvtqt78.ar.vtt |
94B |
| 03. Admissions 2-o91iPvtqt78.en.vtt |
90B |
| 03. Admissions 2-o91iPvtqt78.es-ES.vtt |
95B |
| 03. Admissions 2-o91iPvtqt78.hr.vtt |
85B |
| 03. Admissions 2-o91iPvtqt78.it.vtt |
88B |
| 03. Admissions 2-o91iPvtqt78.ja.vtt |
88B |
| 03. Admissions 2-o91iPvtqt78.mp4 |
339.25KB |
| 03. Admissions 2-o91iPvtqt78.pt-BR.vtt |
91B |
| 03. Admissions 2-o91iPvtqt78.zh-CN.vtt |
83B |
| 03. Admissions 2-o91iPvtqt78.zh-Hans.vtt |
85B |
| 03. Admissions 2-pJrwiukN3Ls.ar.vtt |
208B |
| 03. Admissions 2-pJrwiukN3Ls.en.vtt |
196B |
| 03. Admissions 2-pJrwiukN3Ls.es-ES.vtt |
227B |
| 03. Admissions 2-pJrwiukN3Ls.hr.vtt |
209B |
| 03. Admissions 2-pJrwiukN3Ls.it.vtt |
205B |
| 03. Admissions 2-pJrwiukN3Ls.ja.vtt |
219B |
| 03. Admissions 2-pJrwiukN3Ls.mp4 |
1.21MB |
| 03. Admissions 2-pJrwiukN3Ls.pt-BR.vtt |
223B |
| 03. Admissions 2-pJrwiukN3Ls.pt-PT.vtt |
215B |
| 03. Admissions 2-pJrwiukN3Ls.zh-CN.vtt |
180B |
| 03. Admissions 2-pJrwiukN3Ls.zh-Hans.vtt |
189B |
| 03. AITND Term II Interview W Justin V2 V2-JOkwa1brNX8.mp4 |
48.24MB |
| 03. Alpha Factors versus Risk Factor Modeling.html |
11.00KB |
| 03. Annualized Volatility.html |
5.74KB |
| 03. Basics of LSTM.html |
6.64KB |
| 03. Better Formula.html |
7.88KB |
| 03. Better Formula-vMAl1m8ZtoI.ar.vtt |
650B |
| 03. Better Formula-vMAl1m8ZtoI.en.vtt |
528B |
| 03. Better Formula-vMAl1m8ZtoI.es-ES.vtt |
533B |
| 03. Better Formula-vMAl1m8ZtoI.ja.vtt |
492B |
| 03. Better Formula-vMAl1m8ZtoI.mp4 |
2.52MB |
| 03. Better Formula-vMAl1m8ZtoI.pt-BR.vtt |
523B |
| 03. Better Formula-vMAl1m8ZtoI.zh-CN.vtt |
456B |
| 03. Better Formula-z2xsu2Kehyo.ar.vtt |
302B |
| 03. Better Formula-z2xsu2Kehyo.en.vtt |
216B |
| 03. Better Formula-z2xsu2Kehyo.es-ES.vtt |
231B |
| 03. Better Formula-z2xsu2Kehyo.ja.vtt |
202B |
| 03. Better Formula-z2xsu2Kehyo.mp4 |
1.10MB |
| 03. Better Formula-z2xsu2Kehyo.pt-BR.vtt |
240B |
| 03. Better Formula-z2xsu2Kehyo.zh-CN.vtt |
186B |
| 03. Breakout Strategy Workspace.html |
5.69KB |
| 03. Capturing Text Data.html |
6.19KB |
| 03. Capturing Text Data-Z4mnMN1ApG4.en.vtt |
1.77KB |
| 03. Capturing Text Data-Z4mnMN1ApG4.mp4 |
2.37MB |
| 03. Capturing Text Data-Z4mnMN1ApG4.zh-CN.vtt |
1.57KB |
| 03. Classification Problems 1.html |
9.63KB |
| 03. Classification Problems 1.html |
9.63KB |
| 03. Clustering Movies.html |
6.52KB |
| 03. Clustering Movies-g8PKffm8IRY.ar.vtt |
3.96KB |
| 03. Clustering Movies-g8PKffm8IRY.en.vtt |
2.79KB |
| 03. Clustering Movies-g8PKffm8IRY.mp4 |
7.31MB |
| 03. Clustering Movies-g8PKffm8IRY.pt-BR.vtt |
2.82KB |
| 03. Clustering Movies-g8PKffm8IRY.zh-CN.vtt |
2.53KB |
| 03. Corporate Actions Stock Splits.html |
6.68KB |
| 03. Essence of Linear Algebra.html |
5.38KB |
| 03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.en.vtt |
7.03KB |
| 03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.mp4 |
8.60MB |
| 03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.pt-BR.vtt |
7.08KB |
| 03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.zh-CN.vtt |
6.12KB |
| 03. Example of a factor.html |
5.75KB |
| 03. Exemplo de classificação-Dh625piH7Z0.en.vtt |
2.70KB |
| 03. Exemplo de classificação-Dh625piH7Z0.en.vtt |
2.70KB |
| 03. Exemplo de classificação-Dh625piH7Z0.mp4 |
2.07MB |
| 03. Exemplo de classificação-Dh625piH7Z0.mp4 |
2.07MB |
| 03. Exemplo de classificação-Dh625piH7Z0.pt-BR.vtt |
2.51KB |
| 03. Exemplo de classificação-Dh625piH7Z0.pt-BR.vtt |
2.51KB |
| 03. Exemplo de classificação-Dh625piH7Z0.zh-CN.vtt |
2.37KB |
| 03. Exemplo de classificação-Dh625piH7Z0.zh-CN.vtt |
2.37KB |
| 03. Exercise Visualize Distributions.html |
11.30KB |
| 03. Factor Returns as Latent Variables.html |
7.42KB |
| 03. Fair Coin.html |
8.74KB |
| 03. Fair Coin-9LrlrexpW_o.ar.vtt |
1.09KB |
| 03. Fair Coin-9LrlrexpW_o.en.vtt |
879B |
| 03. Fair Coin-9LrlrexpW_o.es-ES.vtt |
957B |
| 03. Fair Coin-9LrlrexpW_o.hr.vtt |
957B |
| 03. Fair Coin-9LrlrexpW_o.it.vtt |
967B |
| 03. Fair Coin-9LrlrexpW_o.ja.vtt |
911B |
| 03. Fair Coin-9LrlrexpW_o.mp4 |
5.84MB |
| 03. Fair Coin-9LrlrexpW_o.pt-BR.vtt |
884B |
| 03. Fair Coin-9LrlrexpW_o.th.vtt |
1.78KB |
| 03. Fair Coin-9LrlrexpW_o.zh-CN.vtt |
828B |
| 03. Fair Coin-fSKL742j-zk.ar.vtt |
278B |
| 03. Fair Coin-fSKL742j-zk.en.vtt |
190B |
| 03. Fair Coin-fSKL742j-zk.es-ES.vtt |
192B |
| 03. Fair Coin-fSKL742j-zk.hr.vtt |
155B |
| 03. Fair Coin-fSKL742j-zk.it.vtt |
178B |
| 03. Fair Coin-fSKL742j-zk.ja.vtt |
149B |
| 03. Fair Coin-fSKL742j-zk.mp4 |
797.83KB |
| 03. Fair Coin-fSKL742j-zk.pt-BR.vtt |
173B |
| 03. Fair Coin-fSKL742j-zk.th.vtt |
342B |
| 03. Fair Coin-fSKL742j-zk.zh-CN.vtt |
197B |
| 03. Grammar.html |
7.26KB |
| 03. Grammar-Jw3dA7xmoQ4.en.vtt |
727B |
| 03. Grammar-Jw3dA7xmoQ4.mp4 |
2.14MB |
| 03. Grammar-Jw3dA7xmoQ4.zh-CN.vtt |
617B |
| 03. Heads Tails 2.html |
7.88KB |
| 03. Heads Tails 2-S87Z5DgPJeo.ar.vtt |
250B |
| 03. Heads Tails 2-S87Z5DgPJeo.en.vtt |
214B |
| 03. Heads Tails 2-S87Z5DgPJeo.es-ES.vtt |
233B |
| 03. Heads Tails 2-S87Z5DgPJeo.ja.vtt |
243B |
| 03. Heads Tails 2-S87Z5DgPJeo.mp4 |
1.44MB |
| 03. Heads Tails 2-S87Z5DgPJeo.pt-BR.vtt |
249B |
| 03. Heads Tails 2-S87Z5DgPJeo.zh-CN.vtt |
216B |
| 03. Heads Tails 2-vLhdJtXx060.ar.vtt |
339B |
| 03. Heads Tails 2-vLhdJtXx060.en.vtt |
244B |
| 03. Heads Tails 2-vLhdJtXx060.es-ES.vtt |
239B |
| 03. Heads Tails 2-vLhdJtXx060.ja.vtt |
248B |
| 03. Heads Tails 2-vLhdJtXx060.mp4 |
1.60MB |
| 03. Heads Tails 2-vLhdJtXx060.pt-BR.vtt |
291B |
| 03. Heads Tails 2-vLhdJtXx060.zh-CN.vtt |
250B |
| 03. How ETFs are Used.html |
9.56KB |
| 03. Indices.html |
9.20KB |
| 03. Installing Jupyter Notebook.html |
5.80KB |
| 03. Install Python Using Anaconda.html |
9.87KB |
| 03. Interview with Justin Sheetz.html |
4.59KB |
| 03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.en.vtt |
3.36KB |
| 03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.mp4 |
4.74MB |
| 03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.zh-CN.vtt |
2.79KB |
| 03. Knowledge.html |
6.70KB |
| 03. Known and Inferred.html |
6.24KB |
| 03. L1 02 Indices V2-BRv5B78YBGs.en.vtt |
1.77KB |
| 03. L1 02 Indices V2-BRv5B78YBGs.mp4 |
5.41MB |
| 03. L1 03 Indices Are Virtual Portfolios V2-oAd_szbBNWc.en.vtt |
1.19KB |
| 03. L1 03 Indices Are Virtual Portfolios V2-oAd_szbBNWc.mp4 |
3.94MB |
| 03. L1 03 Programming In Python V4-O1cTNYAjeeg.ar.vtt |
1.70KB |
| 03. L1 03 Programming In Python V4-O1cTNYAjeeg.en.vtt |
1.17KB |
| 03. L1 03 Programming In Python V4-O1cTNYAjeeg.mp4 |
4.03MB |
| 03. L1 03 Programming In Python V4-O1cTNYAjeeg.pt-BR.vtt |
1.39KB |
| 03. L1 03 Programming In Python V4-O1cTNYAjeeg.zh-CN.vtt |
1.10KB |
| 03. L1 04 Indices Describe The Market V2-jNzwxE3el7I.en.vtt |
1.07KB |
| 03. L1 04 Indices Describe The Market V2-jNzwxE3el7I.mp4 |
3.57MB |
| 03. L2 02 Commodities V2-gc_GMqbCC2Q.en.vtt |
1.32KB |
| 03. L2 02 Commodities V2-gc_GMqbCC2Q.mp4 |
4.01MB |
| 03. L2 03 Commodity Futures V3-qvSubjxMGJ0.en.vtt |
2.33KB |
| 03. L2 03 Commodity Futures V3-qvSubjxMGJ0.mp4 |
4.37MB |
| 03. L2 04 Commodity ETFs V2-UpgX6INJ6nU.en.vtt |
996B |
| 03. L2 04 Commodity ETFs V2-UpgX6INJ6nU.mp4 |
2.89MB |
| 03. L2 05 International ETFs V2-OL2p8S-82mY.en.vtt |
1.73KB |
| 03. L2 05 International ETFs V2-OL2p8S-82mY.mp4 |
4.80MB |
| 03. L3 03 Portfolio Mean V3-vozlctvug7I.en.vtt |
2.21KB |
| 03. L3 03 Portfolio Mean V3-vozlctvug7I.mp4 |
2.27MB |
| 03. L4 03 Optimization With Constraints V3-91WzhG6dti8.en.vtt |
5.03KB |
| 03. L4 03 Optimization With Constraints V3-91WzhG6dti8.mp4 |
10.43MB |
| 03. Linear Combination and Span.html |
9.57KB |
| 03. Log Returns.html |
5.50KB |
| 03. LSTM Basics-gjb68a4XsqE.en.vtt |
5.21KB |
| 03. LSTM Basics-gjb68a4XsqE.mp4 |
4.03MB |
| 03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt |
5.06KB |
| 03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt |
4.59KB |
| 03. M1L1 Introducing The Instructors 1 V4-l5gG7r-BWYc.en.vtt |
4.12KB |
| 03. M1L1 Introducing The Instructors 1 V4-l5gG7r-BWYc.mp4 |
9.85MB |
| 03. M1L3 03 Trading Stocks V3-GHoRtfUrUMc.en.vtt |
7.57KB |
| 03. M1L3 03 Trading Stocks V3-GHoRtfUrUMc.mp4 |
7.04MB |
| 03. M1L4 04b Dividends V2-OVZw9tci55w.en.vtt |
3.08KB |
| 03. M1L4 04b Dividends V2-OVZw9tci55w.mp4 |
3.62MB |
| 03. M1L4 04 Corporate Actions V5-S60WArbQK7k.en.vtt |
4.86KB |
| 03. M1L4 04 Corporate Actions V5-S60WArbQK7k.mp4 |
5.14MB |
| 03. M1L5 03 Log Returns V5-62fZN1QnGjc.en.vtt |
2.78KB |
| 03. M1L5 03 Log Returns V5-62fZN1QnGjc.mp4 |
5.93MB |
| 03. M2L1 02 Quant Workflow V3-lZfCCRv2rEE.en.vtt |
1.72KB |
| 03. M2L1 02 Quant Workflow V3-lZfCCRv2rEE.mp4 |
1.50MB |
| 03. M2L4 03 Moving Average Models V5-1FkCP_dwxjI.en.vtt |
3.38KB |
| 03. M2L4 03 Moving Average Models V5-1FkCP_dwxjI.mp4 |
3.76MB |
| 03. M2L5 03 Annualized Volatility V8-yakh1pjP7uY.mp4 |
6.74MB |
| 03. M2L6 04 Pairs Trading V3-7lEm_tFXcBk.en.vtt |
5.83KB |
| 03. M2L6 04 Pairs Trading V3-7lEm_tFXcBk.mp4 |
9.73MB |
| 03. M4 L1A 03 Example Of A Factor V4-MJrwJDjWlAg.en.vtt |
3.32KB |
| 03. M4 L1A 03 Example Of A Factor V4-MJrwJDjWlAg.mp4 |
7.41MB |
| 03. M4 L1B 03 Factor Returns As Latent Variables V3-LpHvJq6XTOQ.en.vtt |
3.66KB |
| 03. M4 L1B 03 Factor Returns As Latent Variables V3-LpHvJq6XTOQ.mp4 |
14.25MB |
| 03. M4 L2A 02 Motivation For Risk Factor Model V2-jAQRjxK8PyQ.en.vtt |
2.36KB |
| 03. M4 L2A 02 Motivation For Risk Factor Model V2-jAQRjxK8PyQ.mp4 |
2.62MB |
| 03. M4 L2A 14 Time Series Risk Model Specific Variance V2-I0uJLfh_OgQ.en.vtt |
2.24KB |
| 03. M4 L2A 14 Time Series Risk Model Specific Variance V2-I0uJLfh_OgQ.mp4 |
2.16MB |
| 03. M4 L3a 02 Alpha Factors Versus Risk Factor Modeling V2-qsahBvhVTkk.en.vtt |
2.25KB |
| 03. M4 L3a 02 Alpha Factors Versus Risk Factor Modeling V2-qsahBvhVTkk.mp4 |
6.18MB |
| 03. M4 L3b 02 Overnight Returns Abstract V2-q5xidwa5W8w.en.vtt |
2.36KB |
| 03. M4 L3b 02 Overnight Returns Abstract V2-q5xidwa5W8w.mp4 |
5.55MB |
| 03. M4 L4 03 Setting Up The Problem Risk V4-2vcULOlXTzc.en.vtt |
3.55KB |
| 03. M4 L4 03 Setting Up The Problem Risk V4-2vcULOlXTzc.mp4 |
8.13MB |
| 03. M5 SC 15 10Ks Walkthrough V1-0ytyZ4LVG6s.mp4 |
36.87MB |
| 03. Matrix Addition Quiz.html |
7.94KB |
| 03. Medical Example 2.html |
8.41KB |
| 03. Medical Example 2-FV_hc3MzS_8.ar.vtt |
3.86KB |
| 03. Medical Example 2-FV_hc3MzS_8.en.vtt |
2.84KB |
| 03. Medical Example 2-FV_hc3MzS_8.es-ES.vtt |
2.99KB |
| 03. Medical Example 2-FV_hc3MzS_8.it.vtt |
3.02KB |
| 03. Medical Example 2-FV_hc3MzS_8.ja.vtt |
2.73KB |
| 03. Medical Example 2-FV_hc3MzS_8.mp4 |
22.05MB |
| 03. Medical Example 2-FV_hc3MzS_8.pt-BR.vtt |
3.16KB |
| 03. Medical Example 2-FV_hc3MzS_8.th.vtt |
5.40KB |
| 03. Medical Example 2-FV_hc3MzS_8.zh-CN.vtt |
2.42KB |
| 03. Medical Example 2-VLLG0rYC7To.ar.vtt |
491B |
| 03. Medical Example 2-VLLG0rYC7To.en.vtt |
373B |
| 03. Medical Example 2-VLLG0rYC7To.es-ES.vtt |
406B |
| 03. Medical Example 2-VLLG0rYC7To.it.vtt |
409B |
| 03. Medical Example 2-VLLG0rYC7To.ja.vtt |
373B |
| 03. Medical Example 2-VLLG0rYC7To.mp4 |
2.49MB |
| 03. Medical Example 2-VLLG0rYC7To.pt-BR.vtt |
444B |
| 03. Medical Example 2-VLLG0rYC7To.th.vtt |
634B |
| 03. Medical Example 2-VLLG0rYC7To.zh-CN.vtt |
351B |
| 03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.en.vtt |
1.56KB |
| 03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.mp4 |
4.19MB |
| 03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.pt-BR.vtt |
1.46KB |
| 03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.zh-CN.vtt |
1.41KB |
| 03. Motivation for Risk Factor Models.html |
7.14KB |
| 03. Moving Average Models.html |
5.31KB |
| 03. Notebook Sentiment RNN.html |
6.51KB |
| 03. Notebook Workspace.html |
7.90KB |
| 03. NumPy 0 V1-vyjMs8KFHlE.en.vtt |
4.14KB |
| 03. NumPy 0 V1-vyjMs8KFHlE.mp4 |
4.35MB |
| 03. NumPy 0 V1-vyjMs8KFHlE.pt-BR.vtt |
4.71KB |
| 03. NumPy 0 V1-vyjMs8KFHlE.zh-CN.vtt |
3.68KB |
| 03. Optimization with Constraints.html |
5.87KB |
| 03. Outliers Due to Real Events.html |
6.47KB |
| 03. Overnight Returns Abstract.html |
10.14KB |
| 03. Pairs Trading.html |
7.18KB |
| 03. Portfolio Mean.html |
6.05KB |
| 03. Practice Conditional Statements.html |
10.15KB |
| 03. Prior And Posterior.html |
10.87KB |
| 03. Prior And Posterior-GlmS_jox08s.ar.vtt |
509B |
| 03. Prior And Posterior-GlmS_jox08s.en.vtt |
351B |
| 03. Prior And Posterior-GlmS_jox08s.es-ES.vtt |
337B |
| 03. Prior And Posterior-GlmS_jox08s.it.vtt |
338B |
| 03. Prior And Posterior-GlmS_jox08s.ja.vtt |
419B |
| 03. Prior And Posterior-GlmS_jox08s.mp4 |
3.75MB |
| 03. Prior And Posterior-GlmS_jox08s.pt-BR.vtt |
433B |
| 03. Prior And Posterior-GlmS_jox08s.th.vtt |
768B |
| 03. Prior And Posterior-GlmS_jox08s.zh-CN.vtt |
355B |
| 03. Prior And Posterior-o2Tpws5C2Eg.ar.vtt |
4.20KB |
| 03. Prior And Posterior-o2Tpws5C2Eg.en.vtt |
3.28KB |
| 03. Prior And Posterior-o2Tpws5C2Eg.es-ES.vtt |
3.41KB |
| 03. Prior And Posterior-o2Tpws5C2Eg.it.vtt |
3.47KB |
| 03. Prior And Posterior-o2Tpws5C2Eg.ja.vtt |
2.86KB |
| 03. Prior And Posterior-o2Tpws5C2Eg.mp4 |
14.97MB |
| 03. Prior And Posterior-o2Tpws5C2Eg.pt-BR.vtt |
3.24KB |
| 03. Prior And Posterior-o2Tpws5C2Eg.th.vtt |
5.61KB |
| 03. Prior And Posterior-o2Tpws5C2Eg.zh-CN.vtt |
2.99KB |
| 03. Probability Quiz.html |
10.45KB |
| 03. Programming in Python.html |
5.58KB |
| 03. Project 4 Workspace.html |
5.66KB |
| 03. Project 5 Workspace.html |
5.62KB |
| 03. Quant Workflow.html |
4.85KB |
| 03. Quiz Arithmetic Operators.html |
12.51KB |
| 03. Quiz Defining Functions.html |
9.46KB |
| 03. Quiz Descriptive vs. Inferential (Udacity Students).html |
10.94KB |
| 03. Quiz Momentum-based Signals.html |
6.76KB |
| 03. Recommending Apps 2.html |
7.89KB |
| 03. Refresh Linear Algebra.html |
6.53KB |
| 03. Role in AI.html |
7.24KB |
| 03. Sampling Distributions Confidence Intervals-gICzUhMVymo.en.vtt |
2.75KB |
| 03. Sampling Distributions Confidence Intervals-gICzUhMVymo.mp4 |
3.74MB |
| 03. Sampling Distributions Confidence Intervals-gICzUhMVymo.pt-BR.vtt |
2.57KB |
| 03. Sampling Distributions Confidence Intervals-gICzUhMVymo.zh-CN.vtt |
2.36KB |
| 03. ScreenCast Sampling Distributions and Confidence Intervals.html |
8.01KB |
| 03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.en.vtt |
2.45KB |
| 03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.mp4 |
5.08MB |
| 03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.pt-BR.vtt |
2.70KB |
| 03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.zh-CN.vtt |
2.07KB |
| 03. Setting Up Hypothesis Tests - Part I.html |
10.44KB |
| 03. Setting Up the Problem Risk.html |
6.23KB |
| 03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.en.vtt |
1.23KB |
| 03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.mp4 |
2.62MB |
| 03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.pt-BR.vtt |
1.21KB |
| 03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.zh-CN.vtt |
1.12KB |
| 03. Smart Beta and Portfolio Optimization Workspace.html |
5.76KB |
| 03. Solution Housing Prices.html |
6.89KB |
| 03. Solution Housing Prices-uhdTulw9-Nc.en.vtt |
939B |
| 03. Solution Housing Prices-uhdTulw9-Nc.mp4 |
1001.40KB |
| 03. Solution Housing Prices-uhdTulw9-Nc.pt-BR.vtt |
1.00KB |
| 03. Structured Languages.html |
8.62KB |
| 03. Structured Languages-NsmqUIHlk6U.en.vtt |
1.79KB |
| 03. Structured Languages-NsmqUIHlk6U.mp4 |
5.36MB |
| 03. Structured Languages-NsmqUIHlk6U.zh-CN.vtt |
1.51KB |
| 03. Terminology.html |
6.36KB |
| 03. Testing.html |
6.09KB |
| 03. Testing-EeBZpb-PSac.en.vtt |
2.41KB |
| 03. Testing-EeBZpb-PSac.mp4 |
2.00MB |
| 03. Testing-EeBZpb-PSac.pt-BR.vtt |
2.37KB |
| 03. Testing-EeBZpb-PSac.zh-CN.vtt |
1.99KB |
| 03. TF-IDF.html |
5.27KB |
| 03. TF-IDF-XZBiBIRcACE.en.vtt |
2.38KB |
| 03. TF-IDF-XZBiBIRcACE.mp4 |
2.05MB |
| 03. TF-IDF-XZBiBIRcACE.zh-CN.vtt |
2.07KB |
| 03. Time Series Model specific variance.html |
6.70KB |
| 03. Tracking Intro.html |
8.84KB |
| 03. Trading Stocks.html |
6.63KB |
| 03. Trading with Momentum Workspace.html |
5.62KB |
| 03. Vectors, what even are they Part 3.html |
6.15KB |
| 03. Vectors 3-mWV_MpEjz9c.en.vtt |
5.85KB |
| 03. Vectors 3-mWV_MpEjz9c.mp4 |
6.29MB |
| 03. Vectors 3-mWV_MpEjz9c.pt-BR.vtt |
5.43KB |
| 03. Vectors 3-mWV_MpEjz9c.zh-CN.vtt |
4.96KB |
| 03. Video Weekdays vs. Weekends What is the Difference.html |
9.07KB |
| 03. Video Welcome!.html |
8.38KB |
| 03. What Is Coming Up-oDJsnQcCPr4.ar.vtt |
1.31KB |
| 03. What Is Coming Up-oDJsnQcCPr4.en.vtt |
963B |
| 03. What Is Coming Up-oDJsnQcCPr4.mp4 |
2.19MB |
| 03. What Is Coming Up-oDJsnQcCPr4.pt-BR.vtt |
1.07KB |
| 03. What Is Coming Up-oDJsnQcCPr4.zh-CN.vtt |
913B |
| 03. What is the Difference-I3tQvrCgNrQ.ar.vtt |
1.83KB |
| 03. What is the Difference-I3tQvrCgNrQ.en.vtt |
1.31KB |
| 03. What is the Difference-I3tQvrCgNrQ.mp4 |
1.27MB |
| 03. What is the Difference-I3tQvrCgNrQ.pt-BR.vtt |
1.46KB |
| 03. What is the Difference-I3tQvrCgNrQ.zh-CN.vtt |
1.09KB |
| 03. Why Use NumPy.html |
8.27KB |
| 03. Why Use Pandas.html |
7.28KB |
| 03. Word2Vec Notebook.html |
6.56KB |
| 03. Your Instructors.html |
8.11KB |
| 04. [For Windows] Configuring Git Bash to Run Python.html |
14.49KB |
| 04. 04. Computer Vision Applications-aFJKp2NltCY.en.vtt |
2.71KB |
| 04. 04. Computer Vision Applications-aFJKp2NltCY.mp4 |
11.19MB |
| 04. 04. Computer Vision Applications-aFJKp2NltCY.zh-CN.vtt |
2.41KB |
| 04. 29 Number Summary-gzUN5zKLHjQ.ar.vtt |
4.65KB |
| 04. 29 Number Summary-gzUN5zKLHjQ.en.vtt |
3.56KB |
| 04. 29 Number Summary-gzUN5zKLHjQ.mp4 |
4.36MB |
| 04. 29 Number Summary-gzUN5zKLHjQ.pt-BR.vtt |
3.90KB |
| 04. 29 Number Summary-gzUN5zKLHjQ.zh-CN.vtt |
2.93KB |
| 04. 3 Data PreProcessing V1-Xw1MWmql7no.en.vtt |
6.93KB |
| 04. 3 Data PreProcessing V1-Xw1MWmql7no.mp4 |
10.09MB |
| 04. 5 Flips 1 Head.html |
7.90KB |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.ar.vtt |
364B |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.en.vtt |
256B |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.es-ES.vtt |
281B |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.ja.vtt |
254B |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.mp4 |
1.59MB |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.pt-BR.vtt |
356B |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.zh-CN.vtt |
268B |
| 04. 5 Flips 1 Head-VEfOdACY9rA.ar.vtt |
222B |
| 04. 5 Flips 1 Head-VEfOdACY9rA.en.vtt |
146B |
| 04. 5 Flips 1 Head-VEfOdACY9rA.es-ES.vtt |
160B |
| 04. 5 Flips 1 Head-VEfOdACY9rA.ja.vtt |
180B |
| 04. 5 Flips 1 Head-VEfOdACY9rA.mp4 |
1.49MB |
| 04. 5 Flips 1 Head-VEfOdACY9rA.pt-BR.vtt |
223B |
| 04. 5 Flips 1 Head-VEfOdACY9rA.zh-CN.vtt |
153B |
| 04. Admissions 3.html |
8.36KB |
| 04. Admissions 3-iKTYAsZLbhc.ar.vtt |
738B |
| 04. Admissions 3-iKTYAsZLbhc.en.vtt |
622B |
| 04. Admissions 3-iKTYAsZLbhc.es-ES.vtt |
671B |
| 04. Admissions 3-iKTYAsZLbhc.hr.vtt |
662B |
| 04. Admissions 3-iKTYAsZLbhc.it.vtt |
671B |
| 04. Admissions 3-iKTYAsZLbhc.ja.vtt |
625B |
| 04. Admissions 3-iKTYAsZLbhc.mp4 |
1.57MB |
| 04. Admissions 3-iKTYAsZLbhc.pt-BR.vtt |
692B |
| 04. Admissions 3-iKTYAsZLbhc.zh-CN.vtt |
556B |
| 04. Admissions 3-iKTYAsZLbhc.zh-Hans.vtt |
579B |
| 04. Admissions 3-rDw0TIpwJ-c.ar.vtt |
108B |
| 04. Admissions 3-rDw0TIpwJ-c.en.vtt |
95B |
| 04. Admissions 3-rDw0TIpwJ-c.es-ES.vtt |
104B |
| 04. Admissions 3-rDw0TIpwJ-c.hr.vtt |
95B |
| 04. Admissions 3-rDw0TIpwJ-c.it.vtt |
94B |
| 04. Admissions 3-rDw0TIpwJ-c.ja.vtt |
116B |
| 04. Admissions 3-rDw0TIpwJ-c.mp4 |
467.38KB |
| 04. Admissions 3-rDw0TIpwJ-c.pt-BR.vtt |
99B |
| 04. Admissions 3-rDw0TIpwJ-c.zh-CN.vtt |
99B |
| 04. Admissions 3-rDw0TIpwJ-c.zh-Hans.vtt |
101B |
| 04. Advanced Time Series Models.html |
8.45KB |
| 04. Answer Tracking Intro.html |
8.24KB |
| 04. Architecture of LSTM.html |
6.68KB |
| 04. Bases as Languages.html |
6.36KB |
| 04. Business Example.html |
7.20KB |
| 04. Business Example-Wzz7omSDfEk.en.vtt |
1.99KB |
| 04. Business Example-Wzz7omSDfEk.mp4 |
4.18MB |
| 04. Business Example-Wzz7omSDfEk.pt-BR.vtt |
2.22KB |
| 04. Business Example-Wzz7omSDfEk.zh-CN.vtt |
1.76KB |
| 04. Classification Problems 2.html |
8.42KB |
| 04. Classification Problems 2.html |
8.42KB |
| 04. Cleaning.html |
6.08KB |
| 04. Cleaning-qawXp9DPV6I.en.vtt |
8.29KB |
| 04. Cleaning-qawXp9DPV6I.mp4 |
19.59MB |
| 04. Cleaning-qawXp9DPV6I.pt-BR.vtt |
9.05KB |
| 04. Cleaning-qawXp9DPV6I.zh-CN.vtt |
7.47KB |
| 04. Computer Vision Applications.html |
9.57KB |
| 04. Course Overview.html |
6.41KB |
| 04. Creating and Saving NumPy ndarrays.html |
17.99KB |
| 04. Creating Pandas Series.html |
10.18KB |
| 04. Data Pre-Processing.html |
5.87KB |
| 04. Definition of key words.html |
11.61KB |
| 04. Finding Pairs to Trade.html |
5.88KB |
| 04. Fitting A Line-gkdoknEEcaI.en.vtt |
1.41KB |
| 04. Fitting A Line-gkdoknEEcaI.mp4 |
1.12MB |
| 04. Fitting A Line-gkdoknEEcaI.pt-BR.vtt |
1.42KB |
| 04. Fitting a Line Through Data.html |
6.86KB |
| 04. Flavors of Trading.html |
4.90KB |
| 04. Grammar.html |
7.33KB |
| 04. Grammar-Jw3dA7xmoQ4.en.vtt |
727B |
| 04. Grammar-Jw3dA7xmoQ4.mp4 |
2.14MB |
| 04. Grammar-Jw3dA7xmoQ4.zh-CN.vtt |
617B |
| 04. Guess the Person Now.html |
6.66KB |
| 04. Hedging.html |
6.05KB |
| 04. Historical Variance Exercise.html |
7.19KB |
| 04. How Many Clusters.html |
7.76KB |
| 04. How Many Clusters-8Ygq5dRV0Kk.ar.vtt |
521B |
| 04. How Many Clusters-8Ygq5dRV0Kk.en.vtt |
458B |
| 04. How Many Clusters-8Ygq5dRV0Kk.mp4 |
1.58MB |
| 04. How Many Clusters-8Ygq5dRV0Kk.pt-BR.vtt |
439B |
| 04. How Many Clusters-8Ygq5dRV0Kk.zh-CN.vtt |
385B |
| 04. How Many Clusters-R6oIvdBtsZw.ar.vtt |
999B |
| 04. How Many Clusters-R6oIvdBtsZw.en.vtt |
768B |
| 04. How Many Clusters-R6oIvdBtsZw.mp4 |
2.79MB |
| 04. How Many Clusters-R6oIvdBtsZw.pt-BR.vtt |
773B |
| 04. How Many Clusters-R6oIvdBtsZw.zh-CN.vtt |
744B |
| 04. L1 02 Course Overview V4-vFxXSIV5cHM.ar.vtt |
3.43KB |
| 04. L1 02 Course Overview V4-vFxXSIV5cHM.en.vtt |
2.45KB |
| 04. L1 02 Course Overview V4-vFxXSIV5cHM.mp4 |
8.37MB |
| 04. L1 02 Course Overview V4-vFxXSIV5cHM.pt-BR.vtt |
2.88KB |
| 04. L1 02 Course Overview V4-vFxXSIV5cHM.zh-CN.vtt |
2.18KB |
| 04. L1 05 Market Cap V2-PE0UgUc0f0U.en.vtt |
1.04KB |
| 04. L1 05 Market Cap V2-PE0UgUc0f0U.mp4 |
3.69MB |
| 04. L2 06 Hedging V3-4k1bdohhawI.en.vtt |
1.85KB |
| 04. L2 06 Hedging V3-4k1bdohhawI.mp4 |
3.57MB |
| 04. L3 04 Portfolio Variance V2-LlxRypakop4.en.vtt |
4.72KB |
| 04. L3 04 Portfolio Variance V2-LlxRypakop4.mp4 |
5.39MB |
| 04. Launching the notebook server.html |
10.69KB |
| 04. Linear Combination -Quiz 1.html |
8.19KB |
| 04. Liquidity.html |
6.59KB |
| 04. Loaded Coin 1.html |
9.04KB |
| 04. Loaded Coin 1-sNvQeSikRFY.ar.vtt |
265B |
| 04. Loaded Coin 1-sNvQeSikRFY.en.vtt |
217B |
| 04. Loaded Coin 1-sNvQeSikRFY.es-ES.vtt |
210B |
| 04. Loaded Coin 1-sNvQeSikRFY.hr.vtt |
213B |
| 04. Loaded Coin 1-sNvQeSikRFY.it.vtt |
212B |
| 04. Loaded Coin 1-sNvQeSikRFY.ja.vtt |
201B |
| 04. Loaded Coin 1-sNvQeSikRFY.mp4 |
1.24MB |
| 04. Loaded Coin 1-sNvQeSikRFY.pt-BR.vtt |
201B |
| 04. Loaded Coin 1-sNvQeSikRFY.th.vtt |
252B |
| 04. Loaded Coin 1-sNvQeSikRFY.zh-CN.vtt |
192B |
| 04. Loaded Coin 1-T0EjWSjLGjQ.ar.vtt |
591B |
| 04. Loaded Coin 1-T0EjWSjLGjQ.en.vtt |
425B |
| 04. Loaded Coin 1-T0EjWSjLGjQ.es-ES.vtt |
417B |
| 04. Loaded Coin 1-T0EjWSjLGjQ.hr.vtt |
384B |
| 04. Loaded Coin 1-T0EjWSjLGjQ.it.vtt |
444B |
| 04. Loaded Coin 1-T0EjWSjLGjQ.ja.vtt |
415B |
| 04. Loaded Coin 1-T0EjWSjLGjQ.mp4 |
2.63MB |
| 04. Loaded Coin 1-T0EjWSjLGjQ.pt-BR.vtt |
442B |
| 04. Loaded Coin 1-T0EjWSjLGjQ.th.vtt |
578B |
| 04. Loaded Coin 1-T0EjWSjLGjQ.zh-CN.vtt |
380B |
| 04. Long and Short Positions.html |
6.83KB |
| 04. LSTM Architecture-ycwthhdx8ws.en.vtt |
1.49KB |
| 04. LSTM Architecture-ycwthhdx8ws.mp4 |
1.07MB |
| 04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt |
1.46KB |
| 04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt |
1.34KB |
| 04. M1L1 05 Program Overview V1-Ci0j_UwLlQQ.en.vtt |
3.79KB |
| 04. M1L1 05 Program Overview V1-Ci0j_UwLlQQ.mp4 |
9.73MB |
| 04. M1L3 04 Liquidity V4-KNVQeH6Y_YA.en.vtt |
2.53KB |
| 04. M1L3 04 Liquidity V4-KNVQeH6Y_YA.mp4 |
2.25MB |
| 04. M1L4 06 Technical Indicators V6-jo740Kq3YN4.en.vtt |
6.68KB |
| 04. M1L4 06 Technical Indicators V6-jo740Kq3YN4.mp4 |
6.89MB |
| 04. M1L6 04 Long And Short Positions V3-TCOFgM-hxkQ.en.vtt |
3.76KB |
| 04. M1L6 04 Long And Short Positions V3-TCOFgM-hxkQ.mp4 |
2.87MB |
| 04. M2L1 03 Flavors Of Trading Strategies V4-uCCx8I9u_Nk.en.vtt |
3.98KB |
| 04. M2L1 03 Flavors Of Trading Strategies V4-uCCx8I9u_Nk.mp4 |
5.38MB |
| 04. M2L2 03 Outliers Signals And Strategies V5-zyVgpsRy-mU.en.vtt |
6.11KB |
| 04. M2L2 03 Outliers Signals And Strategies V5-zyVgpsRy-mU.mp4 |
10.51MB |
| 04. M2L3 04 Parameters Of A Distribution V3--akdmiLDny4.en.vtt |
2.32KB |
| 04. M2L3 04 Parameters Of A Distribution V3--akdmiLDny4.mp4 |
6.25MB |
| 04. M2L4 05 Advanced Time Series Models V5-cj1RCBTDog8.en.vtt |
7.30KB |
| 04. M2L4 05 Advanced Time Series Models V5-cj1RCBTDog8.mp4 |
16.63MB |
| 04. M2L6 07 Finding Pairs To Trade V4-6hQtoElcnGM.en.vtt |
2.71KB |
| 04. M2L6 07 Finding Pairs To Trade V4-6hQtoElcnGM.mp4 |
7.82MB |
| 04. M4 03 Coming In Term II V1-2jF5J8MIdqc.en.vtt |
1.68KB |
| 04. M4 03 Coming In Term II V1-2jF5J8MIdqc.mp4 |
4.33MB |
| 04. M4 L2A 15 Time Series Risk Model V2-Lz3RMLmov8o.en.vtt |
1.35KB |
| 04. M4 L2A 15 Time Series Risk Model V2-Lz3RMLmov8o.mp4 |
1.34MB |
| 04. M4 L2b 04 Bases As Languages V3-yEL0-AE3mjo.en.vtt |
4.37KB |
| 04. M4 L2b 04 Bases As Languages V3-yEL0-AE3mjo.mp4 |
5.30MB |
| 04. M4 L3a 03 Definition Of Key Words V4-zySdIQTPTGo.en.vtt |
2.86KB |
| 04. M4 L3a 03 Definition Of Key Words V4-zySdIQTPTGo.mp4 |
7.80MB |
| 04. M4 L3b 03 Overnight Returns Possible Alpha Factors V2-QBCDr9q2rLo.en.vtt |
4.14KB |
| 04. M4 L3b 03 Overnight Returns Possible Alpha Factors V2-QBCDr9q2rLo.mp4 |
5.18MB |
| 04. M4 L4 04 Regularization V4-fq-CanyDHuw.en.vtt |
3.12KB |
| 04. M4 L4 04 Regularization V4-fq-CanyDHuw.mp4 |
4.31MB |
| 04. Market Cap.html |
7.11KB |
| 04. Medical Example 3.html |
8.30KB |
| 04. Medical Example 3-Iz4ViIg9ZlQ.ar.vtt |
1.21KB |
| 04. Medical Example 3-Iz4ViIg9ZlQ.en.vtt |
953B |
| 04. Medical Example 3-Iz4ViIg9ZlQ.es-ES.vtt |
1003B |
| 04. Medical Example 3-Iz4ViIg9ZlQ.it.vtt |
1010B |
| 04. Medical Example 3-Iz4ViIg9ZlQ.ja.vtt |
1.05KB |
| 04. Medical Example 3-Iz4ViIg9ZlQ.mp4 |
6.61MB |
| 04. Medical Example 3-Iz4ViIg9ZlQ.pt-BR.vtt |
1.16KB |
| 04. Medical Example 3-Iz4ViIg9ZlQ.th.vtt |
1.81KB |
| 04. Medical Example 3-Iz4ViIg9ZlQ.zh-CN.vtt |
785B |
| 04. Medical Example 3-Rf6WfB_1EJQ.ar.vtt |
336B |
| 04. Medical Example 3-Rf6WfB_1EJQ.en.vtt |
279B |
| 04. Medical Example 3-Rf6WfB_1EJQ.es-ES.vtt |
301B |
| 04. Medical Example 3-Rf6WfB_1EJQ.it.vtt |
289B |
| 04. Medical Example 3-Rf6WfB_1EJQ.ja.vtt |
262B |
| 04. Medical Example 3-Rf6WfB_1EJQ.mp4 |
2.10MB |
| 04. Medical Example 3-Rf6WfB_1EJQ.pt-BR.vtt |
410B |
| 04. Medical Example 3-Rf6WfB_1EJQ.zh-CN.vtt |
212B |
| 04. MV 10 Transition From Project 02 Int V1-DYjOsL3VYfY.en.vtt |
3.22KB |
| 04. MV 10 Transition From Project 02 Int V1-DYjOsL3VYfY.mp4 |
8.51MB |
| 04. Normalizing 1.html |
10.44KB |
| 04. Normalizing 1-5Tbd3_a5Vug.ar.vtt |
562B |
| 04. Normalizing 1-5Tbd3_a5Vug.en.vtt |
424B |
| 04. Normalizing 1-5Tbd3_a5Vug.es-ES.vtt |
455B |
| 04. Normalizing 1-5Tbd3_a5Vug.it.vtt |
452B |
| 04. Normalizing 1-5Tbd3_a5Vug.ja.vtt |
374B |
| 04. Normalizing 1-5Tbd3_a5Vug.mp4 |
2.92MB |
| 04. Normalizing 1-5Tbd3_a5Vug.pt-BR.vtt |
495B |
| 04. Normalizing 1-5Tbd3_a5Vug.th.vtt |
653B |
| 04. Normalizing 1-5Tbd3_a5Vug.zh-CN.vtt |
369B |
| 04. Normalizing 1-9SbUxcyDTaQ.ar.vtt |
459B |
| 04. Normalizing 1-9SbUxcyDTaQ.en.vtt |
336B |
| 04. Normalizing 1-9SbUxcyDTaQ.es-ES.vtt |
348B |
| 04. Normalizing 1-9SbUxcyDTaQ.it.vtt |
372B |
| 04. Normalizing 1-9SbUxcyDTaQ.ja.vtt |
353B |
| 04. Normalizing 1-9SbUxcyDTaQ.mp4 |
2.23MB |
| 04. Normalizing 1-9SbUxcyDTaQ.pt-BR.vtt |
418B |
| 04. Normalizing 1-9SbUxcyDTaQ.th.vtt |
700B |
| 04. Normalizing 1-9SbUxcyDTaQ.zh-CN.vtt |
303B |
| 04. Notebook + Quiz Building Confidence Intervals.html |
16.24KB |
| 04. NumPy 1 V1-EOHW29kDg7w.en.vtt |
7.06KB |
| 04. NumPy 1 V1-EOHW29kDg7w.mp4 |
7.53MB |
| 04. NumPy 1 V1-EOHW29kDg7w.pt-BR.vtt |
8.09KB |
| 04. NumPy 1 V1-EOHW29kDg7w.zh-CN.vtt |
6.31KB |
| 04. One-Hot Encoding.html |
5.45KB |
| 04. One-Hot Encoding-a0j1CDXFYZI.en.vtt |
1.40KB |
| 04. One-Hot Encoding-a0j1CDXFYZI.mp4 |
1.08MB |
| 04. One-Hot Encoding-a0j1CDXFYZI.pt-BR.vtt |
1.59KB |
| 04. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt |
1.21KB |
| 04. Outliers, Signals and Strategies.html |
5.71KB |
| 04. Outro What's next.html |
5.04KB |
| 04. Overfitting and Underfitting.html |
6.24KB |
| 04. Overnight Returns Possible Alpha Factors.html |
8.18KB |
| 04. Pandas 1 V1-iXnYN8cnhzs.en.vtt |
3.40KB |
| 04. Pandas 1 V1-iXnYN8cnhzs.mp4 |
3.80MB |
| 04. Pandas 1 V1-iXnYN8cnhzs.pt-BR.vtt |
3.77KB |
| 04. Pandas 1 V1-iXnYN8cnhzs.zh-CN.vtt |
3.07KB |
| 04. Parameters of a Distribution.html |
6.97KB |
| 04. Portfolio Variance.html |
7.47KB |
| 04. Pre-Notebook Word2Vec, SkipGram.html |
8.51KB |
| 04. Program Overview.html |
6.27KB |
| 04. PyTorch V2 Part 1 V1-6Z7WntXays8.en.vtt |
9.75KB |
| 04. PyTorch V2 Part 1 V1-6Z7WntXays8.mp4 |
12.32MB |
| 04. Quadratics.html |
8.28KB |
| 04. Quadratics-1R44jvxIPJY.ar.vtt |
1.68KB |
| 04. Quadratics-1R44jvxIPJY.en.vtt |
1.37KB |
| 04. Quadratics-1R44jvxIPJY.es-ES.vtt |
1.35KB |
| 04. Quadratics-1R44jvxIPJY.ja.vtt |
1.18KB |
| 04. Quadratics-1R44jvxIPJY.mp4 |
7.29MB |
| 04. Quadratics-1R44jvxIPJY.pt-BR.vtt |
1.35KB |
| 04. Quadratics-1R44jvxIPJY.zh-CN.vtt |
1.17KB |
| 04. Quadratics-GzRNoodJZxk.ar.vtt |
802B |
| 04. Quadratics-GzRNoodJZxk.en.vtt |
571B |
| 04. Quadratics-GzRNoodJZxk.es-ES.vtt |
565B |
| 04. Quadratics-GzRNoodJZxk.ja.vtt |
483B |
| 04. Quadratics-GzRNoodJZxk.mp4 |
863.99KB |
| 04. Quadratics-GzRNoodJZxk.pt-BR.vtt |
593B |
| 04. Quadratics-GzRNoodJZxk.zh-CN.vtt |
460B |
| 04. Quiz 10-Ks and EDGAR.html |
9.53KB |
| 04. Quiz Descriptive vs. Inferential (Bagels).html |
17.03KB |
| 04. Quiz factor values and weights.html |
6.88KB |
| 04. Quiz Log Returns and Compounding.html |
16.46KB |
| 04. Quiz Stock Data.html |
5.32KB |
| 04. Recommending Apps 3.html |
6.64KB |
| 04. Recommending Apps-nEvW8B1HNq4.en.vtt |
2.78KB |
| 04. Recommending Apps-nEvW8B1HNq4.mp4 |
6.32MB |
| 04. Recommending Apps-nEvW8B1HNq4.pt-BR.vtt |
2.51KB |
| 04. Recommending Apps-nEvW8B1HNq4.zh-CN.vtt |
2.57KB |
| 04. Regularization.html |
6.17KB |
| 04. Scalar Multiplication of Matrix and Quiz.html |
9.07KB |
| 04. Scale of Volatility.html |
6.56KB |
| 04. Setting Up Hypotheses.html |
11.05KB |
| 04. Simulating Many Coin Flips.html |
6.75KB |
| 04. Simulating Many Coin Flips-AqpWQIj2V5Y.ar.vtt |
3.98KB |
| 04. Simulating Many Coin Flips-AqpWQIj2V5Y.en.vtt |
3.23KB |
| 04. Simulating Many Coin Flips-AqpWQIj2V5Y.mp4 |
3.41MB |
| 04. Simulating Many Coin Flips-AqpWQIj2V5Y.pt-BR.vtt |
3.31KB |
| 04. Simulating Many Coin Flips-AqpWQIj2V5Y.zh-CN.vtt |
3.01KB |
| 04. Single layer neural networks.html |
7.87KB |
| 04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.en.vtt |
7.22KB |
| 04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4 |
21.06MB |
| 04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.pt-BR.vtt |
7.27KB |
| 04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.zh-CN.vtt |
6.05KB |
| 04. Solution Arithmetic Operators.html |
9.30KB |
| 04. Solution Conditional Statements.html |
9.99KB |
| 04. Solution Defining Functions.html |
7.88KB |
| 04. Structure of this lesson.html |
6.88KB |
| 04. Student Hub.html |
6.30KB |
| 04. Technical Indicators.html |
6.52KB |
| 04. Terminology.html |
8.18KB |
| 04. Time Series Risk Model.html |
6.11KB |
| 04. Two-Asset Portfolio Optimization.html |
9.48KB |
| 04. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt |
7.49KB |
| 04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 |
6.42MB |
| 04. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt |
8.15KB |
| 04. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt |
6.54KB |
| 04. Unstructured Text.html |
7.81KB |
| 04. Unstructured Text-OmwSdaec5vU.en.vtt |
1.74KB |
| 04. Unstructured Text-OmwSdaec5vU.mp4 |
4.63MB |
| 04. Unstructured Text-OmwSdaec5vU.zh-CN.vtt |
1.55KB |
| 04. Vectors- Mathematical definition .html |
9.44KB |
| 04. Video Introduction to Five Number Summary.html |
10.44KB |
| 04. Video What is Data Why is it important.html |
8.23KB |
| 04. What is Data-ldTDAjrVsA8.ar.vtt |
1.91KB |
| 04. What is Data-ldTDAjrVsA8.en.vtt |
1.28KB |
| 04. What is Data-ldTDAjrVsA8.mp4 |
2.81MB |
| 04. What is Data-ldTDAjrVsA8.pt-BR.vtt |
1.45KB |
| 04. What is Data-ldTDAjrVsA8.zh-CN.vtt |
1.15KB |
| 04. Wrapping Up Module 2.html |
5.09KB |
| 04. 分类问题 2 -46PywnGa_cQ.en.vtt |
1.76KB |
| 04. 分类问题 2 -46PywnGa_cQ.en.vtt |
1.76KB |
| 04. 分类问题 2 -46PywnGa_cQ.mp4 |
1.62MB |
| 04. 分类问题 2 -46PywnGa_cQ.mp4 |
1.62MB |
| 04. 分类问题 2 -46PywnGa_cQ.pt-BR.vtt |
1.60KB |
| 04. 分类问题 2 -46PywnGa_cQ.pt-BR.vtt |
1.60KB |
| 04. 分类问题 2 -46PywnGa_cQ.zh-CN.vtt |
1.65KB |
| 04. 分类问题 2 -46PywnGa_cQ.zh-CN.vtt |
1.65KB |
| 05. 05. Emotional Intelligence-D_LzJsJH5qk.en.vtt |
2.30KB |
| 05. 05. Emotional Intelligence-D_LzJsJH5qk.mp4 |
10.88MB |
| 05. 05. Emotional Intelligence-D_LzJsJH5qk.zh-CN.vtt |
2.02KB |
| 05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.en.vtt |
4.78KB |
| 05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.mp4 |
6.45MB |
| 05. 5 Flips 2 Heads.html |
7.91KB |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.ar.vtt |
1.39KB |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.en.vtt |
1.09KB |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.es-ES.vtt |
1.09KB |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.ja.vtt |
1.06KB |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.mp4 |
7.52MB |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.pt-BR.vtt |
1.21KB |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.zh-CN.vtt |
994B |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.ar.vtt |
319B |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.en.vtt |
238B |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.es-ES.vtt |
242B |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.ja.vtt |
247B |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.mp4 |
1.90MB |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.pt-BR.vtt |
260B |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.zh-CN.vtt |
225B |
| 05. Accessing and Deleting Elements in Pandas Series.html |
13.71KB |
| 05. Admissions 4.html |
8.13KB |
| 05. Admissions 4-GD6cQhkoqS4.ar.vtt |
90B |
| 05. Admissions 4-GD6cQhkoqS4.en.vtt |
86B |
| 05. Admissions 4-GD6cQhkoqS4.hr.vtt |
86B |
| 05. Admissions 4-GD6cQhkoqS4.it.vtt |
89B |
| 05. Admissions 4-GD6cQhkoqS4.ja.vtt |
97B |
| 05. Admissions 4-GD6cQhkoqS4.mp4 |
831.76KB |
| 05. Admissions 4-GD6cQhkoqS4.pt-BR.vtt |
100B |
| 05. Admissions 4-GD6cQhkoqS4.zh-CN.vtt |
90B |
| 05. Admissions 4--GMhV1twy6Y.ar.vtt |
204B |
| 05. Admissions 4--GMhV1twy6Y.en.vtt |
138B |
| 05. Admissions 4--GMhV1twy6Y.es-ES.vtt |
141B |
| 05. Admissions 4--GMhV1twy6Y.hr.vtt |
144B |
| 05. Admissions 4--GMhV1twy6Y.it.vtt |
173B |
| 05. Admissions 4--GMhV1twy6Y.ja.vtt |
154B |
| 05. Admissions 4--GMhV1twy6Y.mp4 |
523.00KB |
| 05. Admissions 4--GMhV1twy6Y.pt-BR.vtt |
149B |
| 05. Admissions 4--GMhV1twy6Y.zh-CN.vtt |
115B |
| 05. Admissions 4--GMhV1twy6Y.zh-Hans.vtt |
119B |
| 05. AIT M5L4B 01 Introduction To Regex V4-WCXDD_n1ZuA.mp4 |
16.96MB |
| 05. Anatomy of a Strategy.html |
6.51KB |
| 05. Assignment Operators-p_qfzL-x3Cs.ar.vtt |
2.42KB |
| 05. Assignment Operators-p_qfzL-x3Cs.en.vtt |
1.79KB |
| 05. Assignment Operators-p_qfzL-x3Cs.mp4 |
10.15MB |
| 05. Assignment Operators-p_qfzL-x3Cs.pt-BR.vtt |
2.08KB |
| 05. Assignment Operators-p_qfzL-x3Cs.zh-CN.vtt |
1.59KB |
| 05. Bayes Theorem.html |
6.20KB |
| 05. Binomial Distributions Quiz.html |
10.30KB |
| 05. Confidence Interval for a Difference In Means-8hrWGzjyhck.en.vtt |
2.19KB |
| 05. Confidence Interval for a Difference In Means-8hrWGzjyhck.mp4 |
2.21MB |
| 05. Confidence Interval for a Difference In Means-8hrWGzjyhck.pt-BR.vtt |
2.08KB |
| 05. Confidence Interval for a Difference In Means-8hrWGzjyhck.zh-CN.vtt |
1.79KB |
| 05. Counting Words.html |
9.06KB |
| 05. Data Types-gT6EYlsLZkE.ar.vtt |
2.61KB |
| 05. Data Types-gT6EYlsLZkE.en.vtt |
1.86KB |
| 05. Data Types-gT6EYlsLZkE.mp4 |
2.07MB |
| 05. Data Types-gT6EYlsLZkE.pt-BR.vtt |
1.99KB |
| 05. Data Types-gT6EYlsLZkE.zh-CN.vtt |
1.78KB |
| 05. Distributions of Returns and Prices.html |
11.91KB |
| 05. Early Stopping.html |
6.18KB |
| 05. Emotional Intelligence.html |
6.94KB |
| 05. Encoding Words, Solution.html |
5.88KB |
| 05. ETF Sponsors.html |
6.10KB |
| 05. Exercise ARMA and ARIMA.html |
5.92KB |
| 05. Experiment I.html |
8.04KB |
| 05. Experiment I-JLKAdT2JESk.en.vtt |
2.58KB |
| 05. Experiment I-JLKAdT2JESk.mp4 |
3.01MB |
| 05. Experiment I-JLKAdT2JESk.pt-BR.vtt |
2.96KB |
| 05. Experiment I-JLKAdT2JESk.zh-CN.vtt |
2.13KB |
| 05. Factor Model Assumptions.html |
7.37KB |
| 05. Factor Model of Asset Return.html |
7.19KB |
| 05. Gaussian Intro.html |
9.20KB |
| 05. Growth V. Value.html |
7.13KB |
| 05. Introduction to Regexes.html |
6.94KB |
| 05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.en.vtt |
3.15KB |
| 05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.mp4 |
2.71MB |
| 05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.zh-CN.vtt |
2.57KB |
| 05. L1 06 Growth Vs Value V2-ZCjre5YTD0s.en.vtt |
1.14KB |
| 05. L1 06 Growth Vs Value V2-ZCjre5YTD0s.mp4 |
3.37MB |
| 05. L2 04b Variables II V3-4IJqbP8vi6A.ar.vtt |
3.35KB |
| 05. L2 04b Variables II V3-4IJqbP8vi6A.en.vtt |
2.42KB |
| 05. L2 04b Variables II V3-4IJqbP8vi6A.mp4 |
16.81MB |
| 05. L2 04b Variables II V3-4IJqbP8vi6A.pt-BR.vtt |
2.82KB |
| 05. L2 04b Variables II V3-4IJqbP8vi6A.zh-CN.vtt |
2.19KB |
| 05. L2 07 ETF Sponsor V2-v5vfAP1nJ10.en.vtt |
1.86KB |
| 05. L2 07 ETF Sponsor V2-v5vfAP1nJ10.mp4 |
4.66MB |
| 05. Learn Gate-aVHVI7ovbHY.en.vtt |
2.63KB |
| 05. Learn Gate-aVHVI7ovbHY.mp4 |
2.22MB |
| 05. Learn Gate-aVHVI7ovbHY.pt-BR.vtt |
2.66KB |
| 05. Learn Gate-aVHVI7ovbHY.zh-CN.vtt |
2.51KB |
| 05. Linear Boundaries.html |
9.15KB |
| 05. Linear Boundaries.html |
9.15KB |
| 05. Linear Boundaries-X-uMlsBi07k.en.vtt |
3.85KB |
| 05. Linear Boundaries-X-uMlsBi07k.en.vtt |
3.85KB |
| 05. Linear Boundaries-X-uMlsBi07k.mp4 |
3.85MB |
| 05. Linear Boundaries-X-uMlsBi07k.mp4 |
3.85MB |
| 05. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt |
3.67KB |
| 05. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt |
3.67KB |
| 05. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt |
3.36KB |
| 05. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt |
3.36KB |
| 05. Linear Dependency .html |
7.29KB |
| 05. Loaded Coin 2.html |
8.72KB |
| 05. Loaded Coin 2-dGffszQYzqc.ar.vtt |
1.06KB |
| 05. Loaded Coin 2-dGffszQYzqc.en.vtt |
874B |
| 05. Loaded Coin 2-dGffszQYzqc.es-ES.vtt |
880B |
| 05. Loaded Coin 2-dGffszQYzqc.hr.vtt |
942B |
| 05. Loaded Coin 2-dGffszQYzqc.it.vtt |
915B |
| 05. Loaded Coin 2-dGffszQYzqc.ja.vtt |
762B |
| 05. Loaded Coin 2-dGffszQYzqc.mp4 |
3.36MB |
| 05. Loaded Coin 2-dGffszQYzqc.pt-BR.vtt |
866B |
| 05. Loaded Coin 2-dGffszQYzqc.zh-CN.vtt |
817B |
| 05. Loaded Coin 2-Y7tnbth-gag.ar.vtt |
222B |
| 05. Loaded Coin 2-Y7tnbth-gag.en.vtt |
180B |
| 05. Loaded Coin 2-Y7tnbth-gag.es-ES.vtt |
185B |
| 05. Loaded Coin 2-Y7tnbth-gag.hr.vtt |
157B |
| 05. Loaded Coin 2-Y7tnbth-gag.it.vtt |
171B |
| 05. Loaded Coin 2-Y7tnbth-gag.ja.vtt |
159B |
| 05. Loaded Coin 2-Y7tnbth-gag.mp4 |
805.43KB |
| 05. Loaded Coin 2-Y7tnbth-gag.pt-BR.vtt |
184B |
| 05. Loaded Coin 2-Y7tnbth-gag.th.vtt |
267B |
| 05. Loaded Coin 2-Y7tnbth-gag.zh-CN.vtt |
164B |
| 05. M1L3 08 Tick Data V4-2O0eSKmI6YQ.en.vtt |
2.42KB |
| 05. M1L3 08 Tick Data V4-2O0eSKmI6YQ.mp4 |
3.08MB |
| 05. M1L4 08 Missing Values V5-XaMaVFUIc_I.en.vtt |
7.34KB |
| 05. M1L4 08 Missing Values V5-XaMaVFUIc_I.mp4 |
14.17MB |
| 05. M1L5 06 Distribution Of Stock Prices Part 2 V1-cGoXGiO1DYk.en.vtt |
4.36KB |
| 05. M1L5 06 Distribution Of Stock Prices Part 2 V1-cGoXGiO1DYk.mp4 |
7.07MB |
| 05. M2L1 04 Anatomy Of A Strategy Part 1 V5-cnJK8c2zfq4.en.vtt |
2.77KB |
| 05. M2L1 04 Anatomy Of A Strategy Part 1 V5-cnJK8c2zfq4.mp4 |
3.35MB |
| 05. M2L1 04 Anatomy Of A Strategy Part 2 V1-v3w4JZKQixc.en.vtt |
4.46KB |
| 05. M2L1 04 Anatomy Of A Strategy Part 2 V1-v3w4JZKQixc.mp4 |
5.00MB |
| 05. M2L1 04 Anatomy Of A Strategy Part 3 V1-vSxnkduTWWY.en.vtt |
5.83KB |
| 05. M2L1 04 Anatomy Of A Strategy Part 3 V1-vSxnkduTWWY.mp4 |
8.21MB |
| 05. M2L2 04 Spotting Outliers In Raw Data V3-kFIB0YIW1TQ.en.vtt |
2.14KB |
| 05. M2L2 04 Spotting Outliers In Raw Data V3-kFIB0YIW1TQ.mp4 |
4.22MB |
| 05. M4 L1A 04 Standardizing A Factor V5-sLZY2SQ4uME.en.vtt |
3.70KB |
| 05. M4 L1A 04 Standardizing A Factor V5-sLZY2SQ4uME.mp4 |
5.93MB |
| 05. M4 L1B 04 Factor Model Assumptions V3-qEu3m_3eGWk.en.vtt |
2.44KB |
| 05. M4 L1B 04 Factor Model Assumptions V3-qEu3m_3eGWk.mp4 |
8.95MB |
| 05. M4 L2A 03 Factor Model Of Asset Return V2-7UnllxDmLj8.en.vtt |
3.55KB |
| 05. M4 L2A 03 Factor Model Of Asset Return V2-7UnllxDmLj8.mp4 |
3.48MB |
| 05. M4 L2A 16 Fama French Size Factor V2-94a2ugitC_E.en.vtt |
3.54KB |
| 05. M4 L2A 16 Fama French Size Factor V2-94a2ugitC_E.mp4 |
4.24MB |
| 05. M4 L2b 05 Translating Between Bases V4-lrE4VOJ2RCA.en.vtt |
3.00KB |
| 05. M4 L2b 05 Translating Between Bases V4-lrE4VOJ2RCA.mp4 |
2.63MB |
| 05. M4 L3a 04 Researching Alphas From Academic Papers V4-te0UTxemLBE.en.vtt |
5.07KB |
| 05. M4 L3a 04 Researching Alphas From Academic Papers V4-te0UTxemLBE.mp4 |
13.52MB |
| 05. M4 L3b 04 Overnight Returns Data Universe Methods V2-Y_lBDa1hRco.en.vtt |
4.44KB |
| 05. M4 L3b 04 Overnight Returns Data Universe Methods V2-Y_lBDa1hRco.mp4 |
10.55MB |
| 05. M4 L4 06 Standard Constraints V4-OPBKsNQPr6I.en.vtt |
2.37KB |
| 05. M4 L4 06 Standard Constraints V4-OPBKsNQPr6I.mp4 |
6.22MB |
| 05. Match Points with Clusters.html |
9.60KB |
| 05. Match Points with Clusters-lS5DfbsWH34.ar.vtt |
1.05KB |
| 05. Match Points with Clusters-lS5DfbsWH34.en.vtt |
772B |
| 05. Match Points with Clusters-lS5DfbsWH34.mp4 |
1.61MB |
| 05. Match Points with Clusters-lS5DfbsWH34.pt-BR.vtt |
781B |
| 05. Match Points with Clusters-lS5DfbsWH34.zh-CN.vtt |
680B |
| 05. Match Points with Clusters-wJV1cRjmIYY.ar.vtt |
682B |
| 05. Match Points with Clusters-wJV1cRjmIYY.en.vtt |
613B |
| 05. Match Points with Clusters-wJV1cRjmIYY.mp4 |
2.75MB |
| 05. Match Points with Clusters-wJV1cRjmIYY.pt-BR.vtt |
671B |
| 05. Match Points with Clusters-wJV1cRjmIYY.zh-CN.vtt |
589B |
| 05. Medical Example 4.html |
8.41KB |
| 05. Medical Example 4-pL8Bf6tck_A.ar.vtt |
405B |
| 05. Medical Example 4-pL8Bf6tck_A.en.vtt |
310B |
| 05. Medical Example 4-pL8Bf6tck_A.es-ES.vtt |
332B |
| 05. Medical Example 4-pL8Bf6tck_A.it.vtt |
308B |
| 05. Medical Example 4-pL8Bf6tck_A.ja.vtt |
305B |
| 05. Medical Example 4-pL8Bf6tck_A.mp4 |
1.69MB |
| 05. Medical Example 4-pL8Bf6tck_A.pt-BR.vtt |
360B |
| 05. Medical Example 4-pL8Bf6tck_A.th.vtt |
541B |
| 05. Medical Example 4-pL8Bf6tck_A.zh-CN.vtt |
277B |
| 05. Medical Example 4-udduksMWMB4.ar.vtt |
518B |
| 05. Medical Example 4-udduksMWMB4.en.vtt |
354B |
| 05. Medical Example 4-udduksMWMB4.es-ES.vtt |
360B |
| 05. Medical Example 4-udduksMWMB4.it.vtt |
359B |
| 05. Medical Example 4-udduksMWMB4.ja.vtt |
331B |
| 05. Medical Example 4-udduksMWMB4.mp4 |
2.29MB |
| 05. Medical Example 4-udduksMWMB4.pt-BR.vtt |
396B |
| 05. Medical Example 4-udduksMWMB4.th.vtt |
657B |
| 05. Medical Example 4-udduksMWMB4.zh-CN.vtt |
303B |
| 05. Missing Values.html |
5.75KB |
| 05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.en.vtt |
1.80KB |
| 05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.mp4 |
4.16MB |
| 05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.pt-BR.vtt |
1.59KB |
| 05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.zh-CN.vtt |
1.65KB |
| 05. Model Complexity Graph-NnS0FJyVcDQ.en.vtt |
5.32KB |
| 05. Model Complexity Graph-NnS0FJyVcDQ.mp4 |
4.90MB |
| 05. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt |
5.52KB |
| 05. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt |
4.65KB |
| 05. Moving a Line.html |
6.83KB |
| 05. Moving A Line-8EIHFyL2Log.en.vtt |
1.16KB |
| 05. Moving A Line-8EIHFyL2Log.mp4 |
981.31KB |
| 05. Moving A Line-8EIHFyL2Log.pt-BR.vtt |
1.05KB |
| 05. Multiplication of a Square Matrices.html |
10.23KB |
| 05. Normalization.html |
6.36KB |
| 05. Normalization-eOV2UUY8vtM.en.vtt |
3.24KB |
| 05. Normalization-eOV2UUY8vtM.mp4 |
3.13MB |
| 05. Normalization-eOV2UUY8vtM.pt-BR.vtt |
3.37KB |
| 05. Normalization-eOV2UUY8vtM.zh-CN.vtt |
2.88KB |
| 05. Normalizing 2.html |
10.45KB |
| 05. Normalizing 2--pOzdj6pnbA.ar.vtt |
95B |
| 05. Normalizing 2--pOzdj6pnbA.en.vtt |
89B |
| 05. Normalizing 2--pOzdj6pnbA.es-ES.vtt |
109B |
| 05. Normalizing 2--pOzdj6pnbA.it.vtt |
90B |
| 05. Normalizing 2--pOzdj6pnbA.ja.vtt |
91B |
| 05. Normalizing 2--pOzdj6pnbA.mp4 |
671.97KB |
| 05. Normalizing 2--pOzdj6pnbA.pt-BR.vtt |
92B |
| 05. Normalizing 2--pOzdj6pnbA.th.vtt |
108B |
| 05. Normalizing 2--pOzdj6pnbA.zh-CN.vtt |
87B |
| 05. Normalizing 2-WYA5Zbf8HC4.ar.vtt |
903B |
| 05. Normalizing 2-WYA5Zbf8HC4.en.vtt |
646B |
| 05. Normalizing 2-WYA5Zbf8HC4.es-ES.vtt |
681B |
| 05. Normalizing 2-WYA5Zbf8HC4.it.vtt |
712B |
| 05. Normalizing 2-WYA5Zbf8HC4.ja.vtt |
618B |
| 05. Normalizing 2-WYA5Zbf8HC4.mp4 |
4.26MB |
| 05. Normalizing 2-WYA5Zbf8HC4.pt-BR.vtt |
769B |
| 05. Normalizing 2-WYA5Zbf8HC4.th.vtt |
1.09KB |
| 05. Normalizing 2-WYA5Zbf8HC4.zh-CN.vtt |
553B |
| 05. Notebook interface.html |
9.41KB |
| 05. Notebook Word2Vec, SkipGram.html |
6.78KB |
| 05. NumPy 2 V1-KR3hHf9Zxxg.en.vtt |
11.69KB |
| 05. NumPy 2 V1-KR3hHf9Zxxg.mp4 |
14.18MB |
| 05. NumPy 2 V1-KR3hHf9Zxxg.pt-BR.vtt |
13.35KB |
| 05. NumPy 2 V1-KR3hHf9Zxxg.zh-CN.vtt |
10.77KB |
| 05. Overnight Returns Data, Universe, Methods.html |
8.18KB |
| 05. Pandas 2 V1-B7MuFIwboKU.en.vtt |
3.31KB |
| 05. Pandas 2 V1-B7MuFIwboKU.mp4 |
3.77MB |
| 05. Pandas 2 V1-B7MuFIwboKU.pt-BR.vtt |
3.84KB |
| 05. Pandas 2 V1-B7MuFIwboKU.zh-CN.vtt |
3.00KB |
| 05. Portfolio Optimization with 2 Stocks.html |
7.18KB |
| 05. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.en.vtt |
10.42KB |
| 05. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.mp4 |
15.66MB |
| 05. Quadratics 2.html |
8.25KB |
| 05. Quadratics 2-HjpgML5zsUE.ar.vtt |
1.18KB |
| 05. Quadratics 2-HjpgML5zsUE.en.vtt |
879B |
| 05. Quadratics 2-HjpgML5zsUE.es-ES.vtt |
886B |
| 05. Quadratics 2-HjpgML5zsUE.ja.vtt |
760B |
| 05. Quadratics 2-HjpgML5zsUE.mp4 |
4.66MB |
| 05. Quadratics 2-HjpgML5zsUE.pt-BR.vtt |
933B |
| 05. Quadratics 2-HjpgML5zsUE.zh-CN.vtt |
763B |
| 05. Quadratics 2-N-wpkttwcoA.ar.vtt |
1.00KB |
| 05. Quadratics 2-N-wpkttwcoA.en.vtt |
738B |
| 05. Quadratics 2-N-wpkttwcoA.es-ES.vtt |
823B |
| 05. Quadratics 2-N-wpkttwcoA.ja.vtt |
710B |
| 05. Quadratics 2-N-wpkttwcoA.mp4 |
1.60MB |
| 05. Quadratics 2-N-wpkttwcoA.pt-BR.vtt |
741B |
| 05. Quadratics 2-N-wpkttwcoA.zh-CN.vtt |
650B |
| 05. Quiz 5 Number Summary Practice.html |
10.52KB |
| 05. Quiz Conditional Statements.html |
12.10KB |
| 05. Quiz Dtype.html |
6.57KB |
| 05. Quiz Identify Pairs to Trade.html |
7.20KB |
| 05. Quiz Standard Normal Distribution.html |
7.83KB |
| 05. Quiz Student Admissions.html |
8.03KB |
| 05. Quiz Volatility.html |
23.33KB |
| 05. Reducing Risk.html |
8.43KB |
| 05. Researching Alphas from Academic Papers.html |
10.99KB |
| 05. Running a Python Script.html |
9.46KB |
| 05. Running A Python Script-vMKemwCderg.ar.vtt |
2.98KB |
| 05. Running A Python Script-vMKemwCderg.en.vtt |
2.23KB |
| 05. Running A Python Script-vMKemwCderg.mp4 |
2.55MB |
| 05. Running A Python Script-vMKemwCderg.pt-BR.vtt |
2.54KB |
| 05. Running A Python Script-vMKemwCderg.zh-CN.vtt |
2.13KB |
| 05. ScreenCast Difference In Means.html |
8.33KB |
| 05. Setting Up Hypotheses - Part II-nByvHz77GiA.en.vtt |
2.71KB |
| 05. Setting Up Hypotheses - Part II-nByvHz77GiA.mp4 |
7.67MB |
| 05. Setting Up Hypotheses - Part II-nByvHz77GiA.pt-BR.vtt |
2.79KB |
| 05. Setting Up Hypotheses - Part II-nByvHz77GiA.zh-CN.vtt |
2.28KB |
| 05. Setting Up Hypothesis Tests - Part II.html |
10.73KB |
| 05. Single layer neural networks solution.html |
7.89KB |
| 05. Size.html |
6.69KB |
| 05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.en.vtt |
2.66KB |
| 05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp4 |
7.25MB |
| 05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.pt-BR.vtt |
2.77KB |
| 05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.zh-CN.vtt |
2.24KB |
| 05. Spotting Outliers in Raw Data.html |
5.56KB |
| 05. Standard Constraints.html |
6.19KB |
| 05. Standardizing a factor.html |
6.05KB |
| 05. Tell Us About Yourself.html |
5.57KB |
| 05. Text Descriptive vs. Inferential Statistics.html |
9.62KB |
| 05. The Learn Gate.html |
7.23KB |
| 05. Tick Data.html |
5.36KB |
| 05. Translating Between Bases.html |
6.40KB |
| 05. Transpose.html |
7.62KB |
| 05. Unstructured Text.html |
7.89KB |
| 05. Unstructured Text-OmwSdaec5vU.en.vtt |
1.74KB |
| 05. Unstructured Text-OmwSdaec5vU.mp4 |
4.63MB |
| 05. Unstructured Text-OmwSdaec5vU.zh-CN.vtt |
1.55KB |
| 05. Using Built-in Functions to Create ndarrays.html |
28.25KB |
| 05. Variables-7pxpUot4x0w.ar.vtt |
2.80KB |
| 05. Variables-7pxpUot4x0w.en.vtt |
2.09KB |
| 05. Variables-7pxpUot4x0w.mp4 |
15.33MB |
| 05. Variables-7pxpUot4x0w.pt-BR.vtt |
2.45KB |
| 05. Variables-7pxpUot4x0w.zh-CN.vtt |
1.79KB |
| 05. Variables and Assignment Operators.html |
14.58KB |
| 05. Variable Scope.html |
9.60KB |
| 05. Variable Scope-rYubQlAM-gw.ar.vtt |
1.60KB |
| 05. Variable Scope-rYubQlAM-gw.en.vtt |
1.24KB |
| 05. Variable Scope-rYubQlAM-gw.mp4 |
9.01MB |
| 05. Variable Scope-rYubQlAM-gw.pt-BR.vtt |
1.54KB |
| 05. Variable Scope-rYubQlAM-gw.zh-CN.vtt |
1.12KB |
| 05. Video Data Types (Quantitative vs. Categorical).html |
8.73KB |
| 05. Word Embeddings.html |
5.44KB |
| 05. Word Embeddings-4mM_S9L2_JQ.en.vtt |
1.55KB |
| 05. Word Embeddings-4mM_S9L2_JQ.mp4 |
1.22MB |
| 05. Word Embeddings-4mM_S9L2_JQ.pt-BR.vtt |
1.71KB |
| 05. Word Embeddings-4mM_S9L2_JQ.zh-CN.vtt |
1.26KB |
| 05. Working with Equations.html |
9.92KB |
| 06. 09 Higher Dimensions-eBHunImDmWw.en.vtt |
2.95KB |
| 06. 09 Higher Dimensions-eBHunImDmWw.en.vtt |
2.95KB |
| 06. 09 Higher Dimensions-eBHunImDmWw.mp4 |
2.59MB |
| 06. 09 Higher Dimensions-eBHunImDmWw.mp4 |
2.59MB |
| 06. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt |
2.66KB |
| 06. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt |
2.66KB |
| 06. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt |
2.38KB |
| 06. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt |
2.38KB |
| 06. 4 Data Subsampling V1-7SJXv2BQzZA.en.vtt |
10.50KB |
| 06. 4 Data Subsampling V1-7SJXv2BQzZA.mp4 |
14.69MB |
| 06. 4 Data Subsampling V1-7SJXv2BQzZA.pt-BR.vtt |
10.26KB |
| 06. 5 Flips 3 Heads.html |
7.92KB |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.ar.vtt |
167B |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.en.vtt |
122B |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.es-ES.vtt |
130B |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.ja.vtt |
157B |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.mp4 |
824.92KB |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.pt-BR.vtt |
160B |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.zh-CN.vtt |
136B |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.ar.vtt |
2.52KB |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.en.vtt |
1.71KB |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.es-ES.vtt |
1.74KB |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.ja.vtt |
1.61KB |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.mp4 |
11.94MB |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.pt-BR.vtt |
1.86KB |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.zh-CN.vtt |
1.52KB |
| 06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.en.vtt |
3.60KB |
| 06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.mp4 |
4.59MB |
| 06. 5 Number Summary to Variance-Ljhau0hrZ1g.ar.vtt |
2.22KB |
| 06. 5 Number Summary to Variance-Ljhau0hrZ1g.en.vtt |
1.54KB |
| 06. 5 Number Summary to Variance-Ljhau0hrZ1g.mp4 |
2.88MB |
| 06. 5 Number Summary to Variance-Ljhau0hrZ1g.pt-BR.vtt |
1.80KB |
| 06. 5 Number Summary to Variance-Ljhau0hrZ1g.zh-CN.vtt |
1.34KB |
| 06. Absolute Trick.html |
6.83KB |
| 06. Absolute Trick-DJWjBAqSkZw.en.vtt |
6.58KB |
| 06. Absolute Trick-DJWjBAqSkZw.mp4 |
5.17MB |
| 06. Absolute Trick-DJWjBAqSkZw.pt-BR.vtt |
6.41KB |
| 06. Answer Gaussian Intro.html |
8.05KB |
| 06. Arithmetic Operations on Pandas Series.html |
13.52KB |
| 06. Authorized Participant and the Create Process.html |
6.70KB |
| 06. Cancer Test Results.html |
12.01KB |
| 06. Code cells.html |
6.07KB |
| 06. Cointegration.html |
10.56KB |
| 06. Context Is Everything.html |
5.99KB |
| 06. Context-J-4pfu2w1C0.en.vtt |
2.12KB |
| 06. Context-J-4pfu2w1C0.mp4 |
4.62MB |
| 06. Context-J-4pfu2w1C0.zh-CN.vtt |
1.97KB |
| 06. Controlling for Risk within an Alpha Factor Part 1.html |
11.04KB |
| 06. Counting Words.html |
9.13KB |
| 06. Covariance Matrix Using a Factor Model.html |
7.43KB |
| 06. Create an ndarray.html |
7.38KB |
| 06. Data Subsampling.html |
8.13KB |
| 06. De-mean part 1.html |
6.53KB |
| 06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt |
1.15KB |
| 06. DL 53 Q Regularization-KxROxcRsHL8.mp4 |
1.01MB |
| 06. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt |
1.16KB |
| 06. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt |
1.02KB |
| 06. Example of Sampling Distributions - Part I-1XezzP6kxUE.ar.vtt |
1.81KB |
| 06. Example of Sampling Distributions - Part I-1XezzP6kxUE.en.vtt |
1.43KB |
| 06. Example of Sampling Distributions - Part I-1XezzP6kxUE.mp4 |
3.54MB |
| 06. Example of Sampling Distributions - Part I-1XezzP6kxUE.pt-BR.vtt |
1.39KB |
| 06. Example of Sampling Distributions - Part I-1XezzP6kxUE.zh-CN.vtt |
1.23KB |
| 06. Factor Model of Asset Return Exercise.html |
7.20KB |
| 06. Forget Gate-iWxpfxLUPSU.en.vtt |
1.26KB |
| 06. Forget Gate-iWxpfxLUPSU.mp4 |
1.04MB |
| 06. Forget Gate-iWxpfxLUPSU.pt-BR.vtt |
1.33KB |
| 06. Forget Gate-iWxpfxLUPSU.zh-CN.vtt |
1.12KB |
| 06. Formulating Portfolio Optimization Problems.html |
15.17KB |
| 06. Gender Bias.html |
8.05KB |
| 06. Gender Bias-DeWp0hnRq4g.ar.vtt |
399B |
| 06. Gender Bias-DeWp0hnRq4g.en.vtt |
281B |
| 06. Gender Bias-DeWp0hnRq4g.hr.vtt |
291B |
| 06. Gender Bias-DeWp0hnRq4g.it.vtt |
311B |
| 06. Gender Bias-DeWp0hnRq4g.ja.vtt |
293B |
| 06. Gender Bias-DeWp0hnRq4g.mp4 |
1.49MB |
| 06. Gender Bias-DeWp0hnRq4g.pt-BR.vtt |
276B |
| 06. Gender Bias-DeWp0hnRq4g.zh-CN.vtt |
257B |
| 06. Gender Bias-JWl8lPGhlbY.ar.vtt |
549B |
| 06. Gender Bias-JWl8lPGhlbY.en.vtt |
468B |
| 06. Gender Bias-JWl8lPGhlbY.hr.vtt |
425B |
| 06. Gender Bias-JWl8lPGhlbY.it.vtt |
476B |
| 06. Gender Bias-JWl8lPGhlbY.ja.vtt |
458B |
| 06. Gender Bias-JWl8lPGhlbY.mp4 |
1.78MB |
| 06. Gender Bias-JWl8lPGhlbY.pt-BR.vtt |
447B |
| 06. Gender Bias-JWl8lPGhlbY.zh-CN.vtt |
355B |
| 06. Getting Rid of Zero-Length.html |
5.89KB |
| 06. Handling Outliers in Raw Data.html |
5.56KB |
| 06. Higher Dimensions.html |
9.62KB |
| 06. Higher Dimensions.html |
9.62KB |
| 06. Kalman Filter.html |
7.03KB |
| 06. L1 07 Ratios V2-Dfbwep-tkok.en.vtt |
2.05KB |
| 06. L1 07 Ratios V2-Dfbwep-tkok.mp4 |
5.43MB |
| 06. L2 08 Authorized Participant And The Create Process V4-u4thSf3Uxsc.en.vtt |
2.83KB |
| 06. L2 08 Authorized Participant And The Create Process V4-u4thSf3Uxsc.mp4 |
7.57MB |
| 06. Leverage Constraint.html |
6.19KB |
| 06. Loaded Coin 3.html |
8.83KB |
| 06. Loaded Coin 3-HohMRlmHoMQ.ar.vtt |
279B |
| 06. Loaded Coin 3-HohMRlmHoMQ.en.vtt |
231B |
| 06. Loaded Coin 3-HohMRlmHoMQ.es-ES.vtt |
234B |
| 06. Loaded Coin 3-HohMRlmHoMQ.hr.vtt |
238B |
| 06. Loaded Coin 3-HohMRlmHoMQ.it.vtt |
234B |
| 06. Loaded Coin 3-HohMRlmHoMQ.ja.vtt |
261B |
| 06. Loaded Coin 3-HohMRlmHoMQ.mp4 |
1.69MB |
| 06. Loaded Coin 3-HohMRlmHoMQ.pt-BR.vtt |
265B |
| 06. Loaded Coin 3-HohMRlmHoMQ.th.vtt |
354B |
| 06. Loaded Coin 3-HohMRlmHoMQ.zh-CN.vtt |
228B |
| 06. Loaded Coin 3-P4uljJ_OP6I.ar.vtt |
302B |
| 06. Loaded Coin 3-P4uljJ_OP6I.en.vtt |
260B |
| 06. Loaded Coin 3-P4uljJ_OP6I.es-ES.vtt |
257B |
| 06. Loaded Coin 3-P4uljJ_OP6I.hr.vtt |
289B |
| 06. Loaded Coin 3-P4uljJ_OP6I.it.vtt |
291B |
| 06. Loaded Coin 3-P4uljJ_OP6I.ja.vtt |
247B |
| 06. Loaded Coin 3-P4uljJ_OP6I.mp4 |
1.35MB |
| 06. Loaded Coin 3-P4uljJ_OP6I.pt-BR.vtt |
249B |
| 06. Loaded Coin 3-P4uljJ_OP6I.th.vtt |
447B |
| 06. Loaded Coin 3-P4uljJ_OP6I.zh-CN.vtt |
248B |
| 06. M1L1 MV 01 Intro In The First Five V1-magg5AVJRVA.en.vtt |
1.52KB |
| 06. M1L1 MV 01 Intro In The First Five V1-magg5AVJRVA.mp4 |
3.31MB |
| 06. M1L1 MV 04a Knowledge V1-lX_is8cq0Bg.en.vtt |
929B |
| 06. M1L1 MV 04a Knowledge V1-lX_is8cq0Bg.mp4 |
1.84MB |
| 06. M1L1 MV 04b Project Reviews V1-KJbx9f9VKJE.en.vtt |
1.29KB |
| 06. M1L1 MV 04b Project Reviews V1-KJbx9f9VKJE.mp4 |
2.50MB |
| 06. M1L1 MV 04 Study Groups V1-vmjk1EKR6mM.en.vtt |
853B |
| 06. M1L1 MV 04 Study Groups V1-vmjk1EKR6mM.mp4 |
1.53MB |
| 06. M1L3 09 Open High Low Close V4-FgNY4YgVWFk.en.vtt |
2.83KB |
| 06. M1L3 09 Open High Low Close V4-FgNY4YgVWFk.mp4 |
2.35MB |
| 06. M1L6 06 Trading Strategy V2-rrCHC20FkIc.en.vtt |
4.09KB |
| 06. M1L6 06 Trading Strategy V2-rrCHC20FkIc.mp4 |
4.43MB |
| 06. M2L2 05 Handling Outliers In Raw Data V3-3l6kQZqlVJA.en.vtt |
3.23KB |
| 06. M2L2 05 Handling Outliers In Raw Data V3-3l6kQZqlVJA.mp4 |
7.92MB |
| 06. M2L4 07 Kalman Filter V4-CLJhgfMI4Ho.en.vtt |
4.08KB |
| 06. M2L4 07 Kalman Filter V4-CLJhgfMI4Ho.mp4 |
11.09MB |
| 06. M2L5 06 Rolling Windows V3-4EuMKqeNXA0.en.vtt |
2.50KB |
| 06. M2L5 06 Rolling Windows V3-4EuMKqeNXA0.mp4 |
4.79MB |
| 06. M2L6 09 Cointegration V6-N4ZI5SyFMOc.en.vtt |
3.91KB |
| 06. M2L6 09 Cointegration V6-N4ZI5SyFMOc.mp4 |
5.47MB |
| 06. M4 L1A 05 Demean Part 1 V3-R3N8bd8U6TM.en.vtt |
4.89KB |
| 06. M4 L1A 05 Demean Part 1 V3-R3N8bd8U6TM.mp4 |
5.52MB |
| 06. M4 L1B 05 Covariance Matrix Using Factor Model V3-_qfTLXoifsM.en.vtt |
4.73KB |
| 06. M4 L1B 05 Covariance Matrix Using Factor Model V3-_qfTLXoifsM.mp4 |
6.93MB |
| 06. M4 L2A 17 Fama French Size Factor V3-FXZuHsn0bx4.en.vtt |
3.72KB |
| 06. M4 L2A 17 Fama French Size Factor V3-FXZuHsn0bx4.mp4 |
3.62MB |
| 06. M4 L2b 06 The Core Idea V3-0KwLkaKHAvg.en.vtt |
3.58KB |
| 06. M4 L2b 06 The Core Idea V3-0KwLkaKHAvg.mp4 |
7.32MB |
| 06. M4 L3a 051 Controlling For Risk Within An Alpha Factor Part 1 V3-raeVfAbBXnA.en.vtt |
2.75KB |
| 06. M4 L3a 051 Controlling For Risk Within An Alpha Factor Part 1 V3-raeVfAbBXnA.mp4 |
7.70MB |
| 06. M4 L3b 05 Overnight Returns Methods Quantile Analysis V3-4Js3mghq2mU.en.vtt |
2.30KB |
| 06. M4 L3b 05 Overnight Returns Methods Quantile Analysis V3-4Js3mghq2mU.mp4 |
5.60MB |
| 06. M4 L4 07 Leverage Constraint V5-zJ9gon4rFQc.en.vtt |
3.03KB |
| 06. M4 L4 07 Leverage Constraint V5-zJ9gon4rFQc.mp4 |
7.87MB |
| 06. M5 SC 1 Raw Strings V1-WhL1VbulThY.mp4 |
6.88MB |
| 06. Magnitude and Direction .html |
8.89KB |
| 06. Medical Example 5.html |
8.41KB |
| 06. Medical Example 5-fqt7NIvMB0s.ar.vtt |
153B |
| 06. Medical Example 5-fqt7NIvMB0s.en.vtt |
128B |
| 06. Medical Example 5-fqt7NIvMB0s.es-ES.vtt |
142B |
| 06. Medical Example 5-fqt7NIvMB0s.it.vtt |
127B |
| 06. Medical Example 5-fqt7NIvMB0s.ja.vtt |
138B |
| 06. Medical Example 5-fqt7NIvMB0s.mp4 |
528.90KB |
| 06. Medical Example 5-fqt7NIvMB0s.pt-BR.vtt |
169B |
| 06. Medical Example 5-fqt7NIvMB0s.th.vtt |
204B |
| 06. Medical Example 5-fqt7NIvMB0s.zh-CN.vtt |
123B |
| 06. Medical Example 5-ys9w-NNKCcU.ar.vtt |
436B |
| 06. Medical Example 5-ys9w-NNKCcU.en.vtt |
349B |
| 06. Medical Example 5-ys9w-NNKCcU.es-ES.vtt |
358B |
| 06. Medical Example 5-ys9w-NNKCcU.it.vtt |
341B |
| 06. Medical Example 5-ys9w-NNKCcU.ja.vtt |
315B |
| 06. Medical Example 5-ys9w-NNKCcU.mp4 |
2.36MB |
| 06. Medical Example 5-ys9w-NNKCcU.pt-BR.vtt |
393B |
| 06. Medical Example 5-ys9w-NNKCcU.th.vtt |
723B |
| 06. Medical Example 5-ys9w-NNKCcU.zh-CN.vtt |
275B |
| 06. Networks Using Matrix Multiplication.html |
7.87KB |
| 06. Normalizing 3.html |
10.45KB |
| 06. Normalizing 3-etrUbOAoh1U.ar.vtt |
110B |
| 06. Normalizing 3-etrUbOAoh1U.en.vtt |
103B |
| 06. Normalizing 3-etrUbOAoh1U.es-ES.vtt |
109B |
| 06. Normalizing 3-etrUbOAoh1U.it.vtt |
96B |
| 06. Normalizing 3-etrUbOAoh1U.ja.vtt |
94B |
| 06. Normalizing 3-etrUbOAoh1U.mp4 |
650.53KB |
| 06. Normalizing 3-etrUbOAoh1U.pt-BR.vtt |
108B |
| 06. Normalizing 3-etrUbOAoh1U.th.vtt |
135B |
| 06. Normalizing 3-etrUbOAoh1U.zh-CN.vtt |
90B |
| 06. Normalizing 3-V96RcbbVP7Q.ar.vtt |
283B |
| 06. Normalizing 3-V96RcbbVP7Q.en.vtt |
219B |
| 06. Normalizing 3-V96RcbbVP7Q.es-ES.vtt |
234B |
| 06. Normalizing 3-V96RcbbVP7Q.it.vtt |
231B |
| 06. Normalizing 3-V96RcbbVP7Q.ja.vtt |
199B |
| 06. Normalizing 3-V96RcbbVP7Q.mp4 |
1.22MB |
| 06. Normalizing 3-V96RcbbVP7Q.pt-BR.vtt |
253B |
| 06. Normalizing 3-V96RcbbVP7Q.th.vtt |
339B |
| 06. Normalizing 3-V96RcbbVP7Q.zh-CN.vtt |
198B |
| 06. Notebook + Quiz Difference in Means.html |
16.01KB |
| 06. OHLC Open, High, Low, Close.html |
5.42KB |
| 06. Optimizing Centers (Rubber Bands).html |
8.35KB |
| 06. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.ar.vtt |
2.11KB |
| 06. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.en.vtt |
1.63KB |
| 06. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.mp4 |
4.59MB |
| 06. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.pt-BR.vtt |
1.56KB |
| 06. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.zh-CN.vtt |
1.43KB |
| 06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.ar.vtt |
836B |
| 06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.en.vtt |
595B |
| 06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.mp4 |
1.80MB |
| 06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.pt-BR.vtt |
606B |
| 06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.zh-CN.vtt |
488B |
| 06. Overnight Returns Methods Quantile Analysis.html |
8.20KB |
| 06. Pandas 3 V1-yhMT0X6YPFA.en.vtt |
2.92KB |
| 06. Pandas 3 V1-yhMT0X6YPFA.mp4 |
3.51MB |
| 06. Pandas 3 V1-yhMT0X6YPFA.pt-BR.vtt |
3.41KB |
| 06. Pandas 3 V1-yhMT0X6YPFA.zh-CN.vtt |
2.59KB |
| 06. Programming Environment Setup.html |
9.81KB |
| 06. Programming Environment Setup-EKxDnCK0NAk.ar.vtt |
6.17KB |
| 06. Programming Environment Setup-EKxDnCK0NAk.en.vtt |
4.14KB |
| 06. Programming Environment Setup-EKxDnCK0NAk.mp4 |
7.42MB |
| 06. Programming Environment Setup-EKxDnCK0NAk.pt-BR.vtt |
4.89KB |
| 06. Programming Environment Setup-EKxDnCK0NAk.zh-CN.vtt |
3.93KB |
| 06. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.en.vtt |
4.52KB |
| 06. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.mp4 |
6.57MB |
| 06. Quadratics 3.html |
8.31KB |
| 06. Quadratics 3-Ny2vcRZ6Aws.ar.vtt |
599B |
| 06. Quadratics 3-Ny2vcRZ6Aws.en.vtt |
461B |
| 06. Quadratics 3-Ny2vcRZ6Aws.es-ES.vtt |
459B |
| 06. Quadratics 3-Ny2vcRZ6Aws.ja.vtt |
389B |
| 06. Quadratics 3-Ny2vcRZ6Aws.mp4 |
2.61MB |
| 06. Quadratics 3-Ny2vcRZ6Aws.pt-BR.vtt |
465B |
| 06. Quadratics 3-Ny2vcRZ6Aws.zh-CN.vtt |
403B |
| 06. Quadratics 3-YSMWpFM92S0.ar.vtt |
974B |
| 06. Quadratics 3-YSMWpFM92S0.en.vtt |
752B |
| 06. Quadratics 3-YSMWpFM92S0.es-ES.vtt |
746B |
| 06. Quadratics 3-YSMWpFM92S0.ja.vtt |
587B |
| 06. Quadratics 3-YSMWpFM92S0.mp4 |
2.54MB |
| 06. Quadratics 3-YSMWpFM92S0.pt-BR.vtt |
673B |
| 06. Quadratics 3-YSMWpFM92S0.zh-CN.vtt |
638B |
| 06. Quiz Data Types (Quantitative vs. Categorical).html |
15.52KB |
| 06. Quiz Experiment I.html |
15.65KB |
| 06. Quiz False Positives.html |
7.42KB |
| 06. Quiz Setting Up Hypothesis Tests.html |
16.66KB |
| 06. Quiz Variables and Assignment Operators.html |
14.06KB |
| 06. Ratios.html |
7.82KB |
| 06. Raw Strings.html |
7.84KB |
| 06. Regularization.html |
7.21KB |
| 06. Rolling Windows.html |
5.83KB |
| 06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.en.vtt |
1.93KB |
| 06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.mp4 |
5.41MB |
| 06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.pt-BR.vtt |
1.94KB |
| 06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.zh-CN.vtt |
1.67KB |
| 06. SMB.html |
7.14KB |
| 06. Solution Conditional Statements.html |
9.52KB |
| 06. Solution Student Admissions.html |
6.88KB |
| 06. Solving a Simplified Set of Equations.html |
13.45KB |
| 06. Square Matrix Multiplication Quiz.html |
8.86KB |
| 06. Student Admissions-TdgBi6LtOB8.en.vtt |
2.50KB |
| 06. Student Admissions-TdgBi6LtOB8.mp4 |
5.41MB |
| 06. Student Admissions-TdgBi6LtOB8.pt-BR.vtt |
2.31KB |
| 06. Student Admissions-TdgBi6LtOB8.zh-CN.vtt |
2.34KB |
| 06. Student Support.html |
8.61KB |
| 06. Testing For Normalilty-Sa1MJegyYfc.en.vtt |
10.13KB |
| 06. Testing For Normalilty-Sa1MJegyYfc.mp4 |
11.27MB |
| 06. Testing for Normality.html |
9.03KB |
| 06. The Core Idea.html |
6.34KB |
| 06. The Forget Gate.html |
7.15KB |
| 06. Tokenization.html |
5.92KB |
| 06. Tokenization-4Ieotbeh4u8.en.vtt |
2.89KB |
| 06. Tokenization-4Ieotbeh4u8.mp4 |
3.22MB |
| 06. Tokenization-4Ieotbeh4u8.pt-BR.vtt |
3.28KB |
| 06. Tokenization-4Ieotbeh4u8.zh-CN.vtt |
2.59KB |
| 06. Trading Days.html |
6.45KB |
| 06. Trading Strategy.html |
6.68KB |
| 06. Try our workspace out!.html |
6.73KB |
| 06. Variable Scope.html |
7.20KB |
| 06. Variance of a 3-Asset Portfolio.html |
7.83KB |
| 06. Video + Quiz Introduction to Sampling Distributions Part I.html |
11.01KB |
| 06. Video What if We Only Want One Number.html |
9.08KB |
| 06. Vision-based Emotion AI.html |
5.50KB |
| 06. Vision-based Emotion AI-7nKKWWn1sAc.en.vtt |
2.97KB |
| 06. Vision-based Emotion AI-7nKKWWn1sAc.mp4 |
13.76MB |
| 06. Vision-based Emotion AI-7nKKWWn1sAc.zh-CN.vtt |
2.63KB |
| 06. Why Log Returns.html |
5.82KB |
| 06. Word2Vec.html |
5.39KB |
| 06. Word2Vec-7jjappzGRe0.en.vtt |
3.42KB |
| 06. Word2Vec-7jjappzGRe0.mp4 |
2.98MB |
| 06. Word2Vec-7jjappzGRe0.pt-BR.vtt |
3.81KB |
| 06. Word2Vec-7jjappzGRe0.zh-CN.vtt |
2.85KB |
| 07. 08. Computer Vision Pipeline-64hFcqhnNow.en.vtt |
1.69KB |
| 07. 08. Computer Vision Pipeline-64hFcqhnNow.mp4 |
2.79MB |
| 07. 08. Computer Vision Pipeline-64hFcqhnNow.zh-CN.vtt |
1.51KB |
| 07. 10 Flips 5 Heads.html |
7.93KB |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.ar.vtt |
1.14KB |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.en.vtt |
908B |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.es-ES.vtt |
900B |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.ja.vtt |
923B |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.mp4 |
9.25MB |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.pt-BR.vtt |
1.24KB |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.zh-CN.vtt |
914B |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.ar.vtt |
342B |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.en.vtt |
256B |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.es-ES.vtt |
251B |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.ja.vtt |
304B |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.mp4 |
3.37MB |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.pt-BR.vtt |
383B |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.zh-CN.vtt |
215B |
| 07. 5 Subsampling Solution V1-YXruURuFD7g.en.vtt |
2.82KB |
| 07. 5 Subsampling Solution V1-YXruURuFD7g.mp4 |
3.42MB |
| 07. 5 Subsampling Solution V1-YXruURuFD7g.pt-BR.vtt |
3.06KB |
| 07. 6 Cleaning And Padding V1-UgPo1_cq-0g.en.vtt |
4.60KB |
| 07. 6 Cleaning And Padding V1-UgPo1_cq-0g.mp4 |
6.36MB |
| 07. Accessing, Deleting, and Inserting Elements Into ndarrays.html |
16.94KB |
| 07. ADF and roots.html |
11.03KB |
| 07. Aggregation.html |
7.87KB |
| 07. Aggregation-55eZrE82TqA.ar.vtt |
1.05KB |
| 07. Aggregation-55eZrE82TqA.en.vtt |
799B |
| 07. Aggregation-55eZrE82TqA.hr.vtt |
748B |
| 07. Aggregation-55eZrE82TqA.it.vtt |
797B |
| 07. Aggregation-55eZrE82TqA.ja.vtt |
708B |
| 07. Aggregation-55eZrE82TqA.mp4 |
4.66MB |
| 07. Aggregation-55eZrE82TqA.pt-BR.vtt |
797B |
| 07. Aggregation-55eZrE82TqA.zh-CN.vtt |
673B |
| 07. Aggregation-8j5hria6Rc8.ar.vtt |
98B |
| 07. Aggregation-8j5hria6Rc8.en.vtt |
90B |
| 07. Aggregation-8j5hria6Rc8.hr.vtt |
85B |
| 07. Aggregation-8j5hria6Rc8.it.vtt |
89B |
| 07. Aggregation-8j5hria6Rc8.ja.vtt |
89B |
| 07. Aggregation-8j5hria6Rc8.mp4 |
447.99KB |
| 07. Aggregation-8j5hria6Rc8.pt-BR.vtt |
89B |
| 07. Aggregation-8j5hria6Rc8.zh-CN.vtt |
84B |
| 07. Boolean Expressions for Conditions.html |
15.16KB |
| 07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.ar.vtt |
1.22KB |
| 07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.en.vtt |
988B |
| 07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.mp4 |
1.74MB |
| 07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.pt-BR.vtt |
1.14KB |
| 07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.zh-CN.vtt |
935B |
| 07. Cleaning Padding Data.html |
5.89KB |
| 07. Complementary Outcomes.html |
7.14KB |
| 07. Complementary Outcomes-YseJqD-1oUg.ar.vtt |
838B |
| 07. Complementary Outcomes-YseJqD-1oUg.en.vtt |
682B |
| 07. Complementary Outcomes-YseJqD-1oUg.es-ES.vtt |
671B |
| 07. Complementary Outcomes-YseJqD-1oUg.hr.vtt |
640B |
| 07. Complementary Outcomes-YseJqD-1oUg.it.vtt |
697B |
| 07. Complementary Outcomes-YseJqD-1oUg.ja.vtt |
669B |
| 07. Complementary Outcomes-YseJqD-1oUg.mp4 |
4.50MB |
| 07. Complementary Outcomes-YseJqD-1oUg.pt-BR.vtt |
695B |
| 07. Complementary Outcomes-YseJqD-1oUg.th.vtt |
1.22KB |
| 07. Complementary Outcomes-YseJqD-1oUg.zh-CN.vtt |
582B |
| 07. Complex Boolean Expressions-gWmIKWgzFqI.ar.vtt |
3.12KB |
| 07. Complex Boolean Expressions-gWmIKWgzFqI.en.vtt |
2.35KB |
| 07. Complex Boolean Expressions-gWmIKWgzFqI.mp4 |
15.06MB |
| 07. Complex Boolean Expressions-gWmIKWgzFqI.pt-BR.vtt |
2.45KB |
| 07. Complex Boolean Expressions-gWmIKWgzFqI.zh-CN.vtt |
2.13KB |
| 07. Computer Vision Pipeline.html |
9.04KB |
| 07. Conditional Probability Bayes Rule Quiz.html |
11.00KB |
| 07. Confidence Intervals Applications-C0wgmeRx9yE.en.vtt |
1.54KB |
| 07. Confidence Intervals Applications-C0wgmeRx9yE.mp4 |
6.08MB |
| 07. Confidence Intervals Applications-C0wgmeRx9yE.pt-BR.vtt |
1.64KB |
| 07. Confidence Intervals Applications-C0wgmeRx9yE.zh-CN.vtt |
1.31KB |
| 07. Context Is Everything.html |
6.06KB |
| 07. Context-J-4pfu2w1C0.en.vtt |
2.12KB |
| 07. Context-J-4pfu2w1C0.mp4 |
4.62MB |
| 07. Context-J-4pfu2w1C0.zh-CN.vtt |
1.97KB |
| 07. Controlling for Risk within an Alpha Factor Part 2.html |
11.04KB |
| 07. cvxpy.html |
11.69KB |
| 07. De-mean part 2.html |
6.00KB |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt |
5.89KB |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt |
5.89KB |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4 |
5.13MB |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4 |
5.13MB |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt |
5.61KB |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt |
5.61KB |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt |
4.98KB |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt |
4.98KB |
| 07. Editing a Python Script.html |
8.55KB |
| 07. Entropy.html |
6.57KB |
| 07. Entropy-piLpj1V1HEk.en.vtt |
4.78KB |
| 07. Entropy-piLpj1V1HEk.mp4 |
12.59MB |
| 07. Entropy-piLpj1V1HEk.pt-BR.vtt |
4.19KB |
| 07. Entropy-piLpj1V1HEk.zh-CN.vtt |
4.32KB |
| 07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.ar.vtt |
1.33KB |
| 07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.en.vtt |
1017B |
| 07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.mp4 |
3.87MB |
| 07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.pt-BR.vtt |
1.04KB |
| 07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.zh-CN.vtt |
905B |
| 07. Factor Exposure and Position Constraints.html |
6.29KB |
| 07. Factor Model of Portfolio Return.html |
7.18KB |
| 07. Factor Models in Quant Finance.html |
7.40KB |
| 07. Feedback.html |
7.33KB |
| 07. Finding Words .html |
7.85KB |
| 07. GloVe.html |
5.37KB |
| 07. GloVe-KK3PMIiIn8o.en.vtt |
4.21KB |
| 07. GloVe-KK3PMIiIn8o.mp4 |
3.81MB |
| 07. GloVe-KK3PMIiIn8o.pt-BR.vtt |
4.55KB |
| 07. GloVe-KK3PMIiIn8o.zh-CN.vtt |
3.61KB |
| 07. Good And Bad Examples-95oLh3WtdhY.ar.vtt |
4.14KB |
| 07. Good And Bad Examples-95oLh3WtdhY.en.vtt |
2.92KB |
| 07. Good And Bad Examples-95oLh3WtdhY.mp4 |
19.91MB |
| 07. Good And Bad Examples-95oLh3WtdhY.pt-BR.vtt |
3.29KB |
| 07. Good And Bad Examples-95oLh3WtdhY.zh-CN.vtt |
2.56KB |
| 07. Index Categories.html |
7.82KB |
| 07. L1 08 SP Index Categories V2-D3VGIvti71g.en.vtt |
1.37KB |
| 07. L1 08 SP Index Categories V2-D3VGIvti71g.mp4 |
4.34MB |
| 07. L2 09 Redeeming Shares V3-ZSVgU7DBarc.en.vtt |
1.27KB |
| 07. L2 09 Redeeming Shares V3-ZSVgU7DBarc.mp4 |
1.38MB |
| 07. L3 06 The Covariance Matrix And Quadratic Forms V1-as5lafBZ2CA.en.vtt |
1.17KB |
| 07. L3 06 The Covariance Matrix And Quadratic Forms V1-as5lafBZ2CA.mp4 |
2.88MB |
| 07. Linear Combination - Quiz 2.html |
7.70KB |
| 07. M2L2 06 Spotting Outliers In Signal Returns V4-BSLGZz0RzTg.en.vtt |
5.56KB |
| 07. M2L2 06 Spotting Outliers In Signal Returns V4-BSLGZz0RzTg.mp4 |
8.50MB |
| 07. M2L4 08 Particle Filter V4-4KhDUAvwI74.en.vtt |
2.63KB |
| 07. M2L4 08 Particle Filter V4-4KhDUAvwI74.mp4 |
2.79MB |
| 07. M4 L1A 06 Demean Part 2 V2-aaj1QVsSCIs.en.vtt |
2.62KB |
| 07. M4 L1A 06 Demean Part 2 V2-aaj1QVsSCIs.mp4 |
3.90MB |
| 07. M4 L1B 06 Factor Models In Quant Finance V2-VeM2SudgZqc.en.vtt |
4.82KB |
| 07. M4 L1B 06 Factor Models In Quant Finance V2-VeM2SudgZqc.mp4 |
17.25MB |
| 07. M4 L2A 04 Factor Model Of Portfolio Return V3-HEoPljS1wD0.en.vtt |
3.45KB |
| 07. M4 L2A 04 Factor Model Of Portfolio Return V3-HEoPljS1wD0.mp4 |
3.47MB |
| 07. M4 L2A 18 Fama French Value Factor V4-IcbsQ4QRGbs.en.vtt |
3.02KB |
| 07. M4 L2A 18 Fama French Value Factor V4-IcbsQ4QRGbs.mp4 |
2.76MB |
| 07. M4 L3a 052 Controlling For Risk Within An Alpha Factor Part 2 V2-Ks8HiHcflPs.en.vtt |
2.75KB |
| 07. M4 L3a 052 Controlling For Risk Within An Alpha Factor Part 2 V2-Ks8HiHcflPs.mp4 |
7.21MB |
| 07. M4 L4 08 Factor Exposure And Position Constraints V3-wMY4zI5zLSM.en.vtt |
2.64KB |
| 07. M4 L4 08 Factor Exposure And Position Constraints V3-wMY4zI5zLSM.mp4 |
5.42MB |
| 07. M5 SC 2 Finding Words V1-wTOh9B6aHGk.mp4 |
11.78MB |
| 07. Manipulate a Series.html |
8.20KB |
| 07. Markdown cells.html |
9.49KB |
| 07. Matrix Multiplication - General.html |
10.07KB |
| 07. Medical Example 6.html |
8.41KB |
| 07. Medical Example 6-iyE5h48qPFQ.ar.vtt |
191B |
| 07. Medical Example 6-iyE5h48qPFQ.en.vtt |
169B |
| 07. Medical Example 6-iyE5h48qPFQ.es-ES.vtt |
166B |
| 07. Medical Example 6-iyE5h48qPFQ.it.vtt |
164B |
| 07. Medical Example 6-iyE5h48qPFQ.ja.vtt |
141B |
| 07. Medical Example 6-iyE5h48qPFQ.mp4 |
639.69KB |
| 07. Medical Example 6-iyE5h48qPFQ.pt-BR.vtt |
164B |
| 07. Medical Example 6-iyE5h48qPFQ.th.vtt |
305B |
| 07. Medical Example 6-iyE5h48qPFQ.zh-CN.vtt |
163B |
| 07. Medical Example 6--lC9xztr4zA.ar.vtt |
473B |
| 07. Medical Example 6--lC9xztr4zA.en.vtt |
433B |
| 07. Medical Example 6--lC9xztr4zA.es-ES.vtt |
426B |
| 07. Medical Example 6--lC9xztr4zA.it.vtt |
414B |
| 07. Medical Example 6--lC9xztr4zA.ja.vtt |
264B |
| 07. Medical Example 6--lC9xztr4zA.mp4 |
1.68MB |
| 07. Medical Example 6--lC9xztr4zA.pt-BR.vtt |
339B |
| 07. Medical Example 6--lC9xztr4zA.th.vtt |
604B |
| 07. Medical Example 6--lC9xztr4zA.zh-CN.vtt |
376B |
| 07. Metric - Click Through Rate.html |
7.44KB |
| 07. Metric - Click Through Rate-EpfoKAwV_Eg.en.vtt |
3.60KB |
| 07. Metric - Click Through Rate-EpfoKAwV_Eg.mp4 |
3.90MB |
| 07. Metric - Click Through Rate-EpfoKAwV_Eg.pt-BR.vtt |
4.04KB |
| 07. Metric - Click Through Rate-EpfoKAwV_Eg.zh-CN.vtt |
2.92KB |
| 07. Moving Centers 2.html |
8.35KB |
| 07. Moving Centers 2-FY0DXe0lfrI.ar.vtt |
479B |
| 07. Moving Centers 2-FY0DXe0lfrI.en.vtt |
368B |
| 07. Moving Centers 2-FY0DXe0lfrI.mp4 |
1.34MB |
| 07. Moving Centers 2-FY0DXe0lfrI.pt-BR.vtt |
370B |
| 07. Moving Centers 2-FY0DXe0lfrI.zh-CN.vtt |
361B |
| 07. Moving Centers 2-uC1Xwc7warg.ar.vtt |
444B |
| 07. Moving Centers 2-uC1Xwc7warg.en.vtt |
312B |
| 07. Moving Centers 2-uC1Xwc7warg.mp4 |
803.69KB |
| 07. Moving Centers 2-uC1Xwc7warg.pt-BR.vtt |
326B |
| 07. Moving Centers 2-uC1Xwc7warg.zh-CN.vtt |
332B |
| 07. Multilayer Networks Solution.html |
7.31KB |
| 07. Natural Language Processing-UQBxJzoCp-I.en.vtt |
1.17KB |
| 07. Natural Language Processing-UQBxJzoCp-I.mp4 |
3.39MB |
| 07. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt |
1.30KB |
| 07. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt |
1.03KB |
| 07. NLP and Pipelines.html |
5.68KB |
| 07. NumPy 3 V1-Rt4aydeo9F8.en.vtt |
6.90KB |
| 07. NumPy 3 V1-Rt4aydeo9F8.mp4 |
8.50MB |
| 07. NumPy 3 V1-Rt4aydeo9F8.pt-BR.vtt |
7.25KB |
| 07. NumPy 3 V1-Rt4aydeo9F8.zh-CN.vtt |
6.33KB |
| 07. Overnight Returns exercise.html |
8.70KB |
| 07. Particle Filter.html |
5.69KB |
| 07. PCA Exercise.html |
6.96KB |
| 07. Perceptrons.html |
9.25KB |
| 07. Perceptrons.html |
9.25KB |
| 07. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.en.vtt |
4.52KB |
| 07. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.mp4 |
5.90MB |
| 07. Quadratics 4.html |
7.84KB |
| 07. Quadratics 4-yimIE9fCvi8.ar.vtt |
752B |
| 07. Quadratics 4-yimIE9fCvi8.en.vtt |
591B |
| 07. Quadratics 4-yimIE9fCvi8.es-ES.vtt |
595B |
| 07. Quadratics 4-yimIE9fCvi8.ja.vtt |
449B |
| 07. Quadratics 4-yimIE9fCvi8.mp4 |
2.00MB |
| 07. Quadratics 4-yimIE9fCvi8.pt-BR.vtt |
547B |
| 07. Quadratics 4-yimIE9fCvi8.zh-CN.vtt |
522B |
| 07. Quadratics 4-zB2Y-5YEIec.ar.vtt |
623B |
| 07. Quadratics 4-zB2Y-5YEIec.en.vtt |
496B |
| 07. Quadratics 4-zB2Y-5YEIec.es-ES.vtt |
516B |
| 07. Quadratics 4-zB2Y-5YEIec.ja.vtt |
389B |
| 07. Quadratics 4-zB2Y-5YEIec.mp4 |
519.05KB |
| 07. Quadratics 4-zB2Y-5YEIec.pt-BR.vtt |
481B |
| 07. Quadratics 4-zB2Y-5YEIec.zh-CN.vtt |
389B |
| 07. Quiz Momentum-based Portfolio.html |
8.50KB |
| 07. Quiz Normality .html |
7.31KB |
| 07. Quiz Resample Data.html |
6.02KB |
| 07. Quiz Rolling Windows.html |
6.47KB |
| 07. Quiz Trading Experiment.html |
7.18KB |
| 07. Quiz Variance and Preferred Gaussian.html |
10.27KB |
| 07. Redeeming Shares.html |
6.49KB |
| 07. Regularization 2.html |
6.15KB |
| 07. Regularization-ndYnUrx8xvs.en.vtt |
8.07KB |
| 07. Regularization-ndYnUrx8xvs.mp4 |
7.57MB |
| 07. Regularization-ndYnUrx8xvs.pt-BR.vtt |
8.78KB |
| 07. Regularization-ndYnUrx8xvs.zh-CN.vtt |
6.96KB |
| 07. Remember Gate-0qlm86HaXuU.en.vtt |
734B |
| 07. Remember Gate-0qlm86HaXuU.mp4 |
676.91KB |
| 07. Remember Gate-0qlm86HaXuU.pt-BR.vtt |
700B |
| 07. Remember Gate-0qlm86HaXuU.zh-CN.vtt |
632B |
| 07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.en.vtt |
6.46KB |
| 07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.mp4 |
14.35MB |
| 07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.pt-BR.vtt |
6.53KB |
| 07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.zh-CN.vtt |
5.41KB |
| 07. Solution False Positives.html |
6.25KB |
| 07. Solution Variables and Assignment Operators.html |
11.03KB |
| 07. Solution Variable Scope.html |
7.38KB |
| 07. Spotting Outliers in Signal Returns.html |
5.75KB |
| 07. Square Trick.html |
6.82KB |
| 07. Square Trick-AGZEq-yQgRM.en.vtt |
3.91KB |
| 07. Square Trick-AGZEq-yQgRM.mp4 |
3.28MB |
| 07. Square Trick-AGZEq-yQgRM.pt-BR.vtt |
3.78KB |
| 07. Stop Word Removal.html |
5.65KB |
| 07. Stop Word Removal-WAU_Ij0GJbw.en.vtt |
1.59KB |
| 07. Stop Word Removal-WAU_Ij0GJbw.mp4 |
1.96MB |
| 07. Stop Word Removal-WAU_Ij0GJbw.pt-BR.vtt |
1.79KB |
| 07. Stop Word Removal-WAU_Ij0GJbw.zh-CN.vtt |
1.40KB |
| 07. Subsampling Solution.html |
6.26KB |
| 07. The Covariance Matrix and Quadratic Forms.html |
8.88KB |
| 07. The Remember Gate.html |
7.05KB |
| 07. Total Probability-_hXCgF-aMB0.ar.vtt |
176B |
| 07. Total Probability-_hXCgF-aMB0.en.vtt |
140B |
| 07. Total Probability-_hXCgF-aMB0.es-ES.vtt |
143B |
| 07. Total Probability-_hXCgF-aMB0.it.vtt |
129B |
| 07. Total Probability-_hXCgF-aMB0.ja.vtt |
142B |
| 07. Total Probability-_hXCgF-aMB0.mp4 |
672.27KB |
| 07. Total Probability-_hXCgF-aMB0.pt-BR.vtt |
164B |
| 07. Total Probability-_hXCgF-aMB0.th.vtt |
240B |
| 07. Total Probability-_hXCgF-aMB0.zh-CN.vtt |
127B |
| 07. Total Probability.html |
10.53KB |
| 07. Total Probability-fAaE5K9OZJc.ar.vtt |
404B |
| 07. Total Probability-fAaE5K9OZJc.en.vtt |
313B |
| 07. Total Probability-fAaE5K9OZJc.es-ES.vtt |
333B |
| 07. Total Probability-fAaE5K9OZJc.it.vtt |
324B |
| 07. Total Probability-fAaE5K9OZJc.ja.vtt |
345B |
| 07. Total Probability-fAaE5K9OZJc.mp4 |
2.08MB |
| 07. Total Probability-fAaE5K9OZJc.pt-BR.vtt |
391B |
| 07. Total Probability-fAaE5K9OZJc.th.vtt |
579B |
| 07. Total Probability-fAaE5K9OZJc.zh-CN.vtt |
297B |
| 07. Truth Value Testing-e52uw7ejV8k.ar.vtt |
2.63KB |
| 07. Truth Value Testing-e52uw7ejV8k.en.vtt |
1.77KB |
| 07. Truth Value Testing-e52uw7ejV8k.mp4 |
12.78MB |
| 07. Truth Value Testing-e52uw7ejV8k.pt-BR.vtt |
2.09KB |
| 07. Truth Value Testing-e52uw7ejV8k.zh-CN.vtt |
1.60KB |
| 07. Try our workspace again!.html |
8.08KB |
| 07. Types of Errors - Part I.html |
8.84KB |
| 07. Types Of Errors - Part I-aw6GMxIvENc.en.vtt |
2.13KB |
| 07. Types Of Errors - Part I-aw6GMxIvENc.mp4 |
3.07MB |
| 07. Types Of Errors - Part I-aw6GMxIvENc.pt-BR.vtt |
1.99KB |
| 07. Types Of Errors - Part I-aw6GMxIvENc.zh-CN.vtt |
1.80KB |
| 07. Value (HML).html |
6.09KB |
| 07. Vectors- Quiz 1.html |
7.50KB |
| 07. Video + Quiz Introduction to Sampling Distributions Part II.html |
10.89KB |
| 07. Video Confidence Interval Applications.html |
7.80KB |
| 07. Video Data Types (Ordinal vs. Nominal).html |
8.94KB |
| 07. Video Introduction to Standard Deviation and Variance.html |
9.93KB |
| 07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.ar.vtt |
3.38KB |
| 07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.en.vtt |
2.70KB |
| 07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.mp4 |
5.20MB |
| 07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.pt-BR.vtt |
2.83KB |
| 07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.zh-CN.vtt |
2.22KB |
| 08. 6 Defining Context Targets V1-DJN9MzD7ctY.en.vtt |
4.54KB |
| 08. 6 Defining Context Targets V1-DJN9MzD7ctY.mp4 |
5.67MB |
| 08. 6 Defining Context Targets V1-DJN9MzD7ctY.pt-BR.vtt |
4.43KB |
| 08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.en.vtt |
5.04KB |
| 08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.mp4 |
5.48MB |
| 08. Aggregation 2.html |
7.91KB |
| 08. Aggregation 2-udXhxyls5Dw.ar.vtt |
166B |
| 08. Aggregation 2-udXhxyls5Dw.en.vtt |
155B |
| 08. Aggregation 2-udXhxyls5Dw.hr.vtt |
149B |
| 08. Aggregation 2-udXhxyls5Dw.it.vtt |
151B |
| 08. Aggregation 2-udXhxyls5Dw.ja.vtt |
137B |
| 08. Aggregation 2-udXhxyls5Dw.mp4 |
751.89KB |
| 08. Aggregation 2-udXhxyls5Dw.pt-BR.vtt |
168B |
| 08. Aggregation 2-udXhxyls5Dw.zh-CN.vtt |
155B |
| 08. Aggregation 2-xhpEqsHTf3g.ar.vtt |
184B |
| 08. Aggregation 2-xhpEqsHTf3g.en.vtt |
148B |
| 08. Aggregation 2-xhpEqsHTf3g.hr.vtt |
163B |
| 08. Aggregation 2-xhpEqsHTf3g.it.vtt |
187B |
| 08. Aggregation 2-xhpEqsHTf3g.ja.vtt |
156B |
| 08. Aggregation 2-xhpEqsHTf3g.mp4 |
719.39KB |
| 08. Aggregation 2-xhpEqsHTf3g.pt-BR.vtt |
173B |
| 08. Aggregation 2-xhpEqsHTf3g.zh-CN.vtt |
126B |
| 08. Alternative Ways of Setting Up the Problem.html |
10.29KB |
| 08. Answer Variance and Preferred Gaussian.html |
8.31KB |
| 08. Bayesian Learning 1.html |
9.46KB |
| 08. Bayes Rule Diagram.html |
8.80KB |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.ar.vtt |
2.42KB |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.en.vtt |
1.92KB |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.es-ES.vtt |
1.95KB |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.it.vtt |
2.09KB |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.ja.vtt |
1.98KB |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.mp4 |
12.52MB |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.pt-BR.vtt |
2.17KB |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.th.vtt |
3.48KB |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.zh-CN.vtt |
1.70KB |
| 08. Calculate a Covariance Matrix.html |
8.40KB |
| 08. Career Services-cuKecPpZ7PM.en.vtt |
3.63KB |
| 08. Career Services-cuKecPpZ7PM.mp4 |
10.12MB |
| 08. Career Services-cuKecPpZ7PM.pt-BR.vtt |
3.83KB |
| 08. Career Support.html |
11.68KB |
| 08. Click Through Rate.html |
7.78KB |
| 08. Clustering Stocks.html |
5.85KB |
| 08. Conclusion.html |
5.61KB |
| 08. Context Word Targets.html |
7.65KB |
| 08. Continuous vs. Discrete Data-BzgZebZD9kk.ar.vtt |
2.23KB |
| 08. Continuous vs. Discrete Data-BzgZebZD9kk.en.vtt |
1.54KB |
| 08. Continuous vs. Discrete Data-BzgZebZD9kk.mp4 |
3.81MB |
| 08. Continuous vs. Discrete Data-BzgZebZD9kk.pt-BR.vtt |
1.70KB |
| 08. Continuous vs. Discrete Data-BzgZebZD9kk.zh-CN.vtt |
1.37KB |
| 08. Creating Pandas DataFrames.html |
21.49KB |
| 08. Documentation-_Vl9NJkA6JQ.ar.vtt |
3.42KB |
| 08. Documentation-_Vl9NJkA6JQ.en.vtt |
2.70KB |
| 08. Documentation-_Vl9NJkA6JQ.mp4 |
15.93MB |
| 08. Documentation-_Vl9NJkA6JQ.pt-BR.vtt |
3.03KB |
| 08. Documentation-_Vl9NJkA6JQ.zh-CN.vtt |
2.36KB |
| 08. Documentation.html |
8.74KB |
| 08. Dropout.html |
6.09KB |
| 08. Dropout-Ty6K6YiGdBs.en.vtt |
4.71KB |
| 08. Dropout-Ty6K6YiGdBs.mp4 |
4.22MB |
| 08. Dropout-Ty6K6YiGdBs.pt-BR.vtt |
4.66KB |
| 08. Dropout-Ty6K6YiGdBs.zh-CN.vtt |
4.06KB |
| 08. Embeddings for Deep Learning.html |
5.53KB |
| 08. Embeddings For Deep Learning-gj8u1KG0H2w.en.vtt |
5.11KB |
| 08. Embeddings For Deep Learning-gj8u1KG0H2w.mp4 |
4.70MB |
| 08. Embeddings For Deep Learning-gj8u1KG0H2w.pt-BR.vtt |
5.60KB |
| 08. Embeddings For Deep Learning-gj8u1KG0H2w.zh-CN.vtt |
4.70KB |
| 08. Entropy Formula 1.html |
8.39KB |
| 08. Entropy Formula-iZiSYrOKvpo.en.vtt |
1.80KB |
| 08. Entropy Formula-iZiSYrOKvpo.mp4 |
4.30MB |
| 08. Entropy Formula-iZiSYrOKvpo.pt-BR.vtt |
1.69KB |
| 08. Entropy Formula-iZiSYrOKvpo.zh-CN.vtt |
1.77KB |
| 08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.ar.vtt |
1.06KB |
| 08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.en.vtt |
821B |
| 08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.mp4 |
3.57MB |
| 08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.pt-BR.vtt |
965B |
| 08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.zh-CN.vtt |
704B |
| 08. Exercise cvxpy.html |
6.43KB |
| 08. Exercise Normality.html |
6.89KB |
| 08. Exponentially Weighted Moving Average.html |
5.94KB |
| 08. Fama French SMB and HML.html |
6.78KB |
| 08. Finding MetaCharacters.html |
7.88KB |
| 08. Formula.html |
8.42KB |
| 08. Formula-DTdS-LlMTQ0.ar.vtt |
1.26KB |
| 08. Formula-DTdS-LlMTQ0.en.vtt |
931B |
| 08. Formula-DTdS-LlMTQ0.es-ES.vtt |
948B |
| 08. Formula-DTdS-LlMTQ0.ja.vtt |
984B |
| 08. Formula-DTdS-LlMTQ0.mp4 |
10.75MB |
| 08. Formula-DTdS-LlMTQ0.pt-BR.vtt |
1.19KB |
| 08. Formula-DTdS-LlMTQ0.zh-CN.vtt |
745B |
| 08. Formula-yTr8zCHdo5M.ar.vtt |
334B |
| 08. Formula-yTr8zCHdo5M.en.vtt |
240B |
| 08. Formula-yTr8zCHdo5M.es-ES.vtt |
236B |
| 08. Formula-yTr8zCHdo5M.ja.vtt |
217B |
| 08. Formula-yTr8zCHdo5M.mp4 |
1.28MB |
| 08. Formula-yTr8zCHdo5M.pt-BR.vtt |
249B |
| 08. Formula-yTr8zCHdo5M.zh-CN.vtt |
210B |
| 08. Gradient Descent.html |
6.84KB |
| 08. Gradient Descent-4s4x9h6AN5Y.en.vtt |
5.61KB |
| 08. Gradient Descent-4s4x9h6AN5Y.mp4 |
4.25MB |
| 08. Gradient Descent-4s4x9h6AN5Y.pt-BR.vtt |
5.23KB |
| 08. Handling Outliers in Signal Returns.html |
5.59KB |
| 08. How NLP Pipelines Work.html |
5.68KB |
| 08. Integers and Floats.html |
12.60KB |
| 08. Jonathan Larkin Careers-QhHNPxM_Ku4.en.vtt |
4.95KB |
| 08. Jonathan Larkin Careers-QhHNPxM_Ku4.mp4 |
17.97MB |
| 08. Keyboard shortcuts.html |
5.92KB |
| 08. L1 09 Price Weighting V2-2SFbwJ19NhA.en.vtt |
812B |
| 08. L1 09 Price Weighting V2-2SFbwJ19NhA.mp4 |
1.91MB |
| 08. L2 10 Lower Operational Costs And Taxes V2-UlJusglK0h0.en.vtt |
1.47KB |
| 08. L2 10 Lower Operational Costs And Taxes V2-UlJusglK0h0.mp4 |
4.16MB |
| 08. Linear Combination - Quiz 3.html |
8.00KB |
| 08. Lower Operational Costs Taxes.html |
6.94KB |
| 08. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt |
1.75KB |
| 08. LSTM 7 Use Gate-5Ifolm1jTdY.mp4 |
1.50MB |
| 08. LSTM 7 Use Gate-5Ifolm1jTdY.pt-BR.vtt |
1.73KB |
| 08. LSTM 7 Use Gate-5Ifolm1jTdY.zh-CN.vtt |
1.50KB |
| 08. M1L3 10 Volume V3-DFp7kp0xRCo.en.vtt |
5.12KB |
| 08. M1L3 10 Volume V3-DFp7kp0xRCo.mp4 |
4.37MB |
| 08. M1L4 11 Survivor Bias V2-39MeCCw5ndM.en.vtt |
1.61KB |
| 08. M1L4 11 Survivor Bias V2-39MeCCw5ndM.mp4 |
4.52MB |
| 08. M2L2 07 Handling Outliers In Signal Returns V4-ILdnNi4CgZM.en.vtt |
4.55KB |
| 08. M2L2 07 Handling Outliers In Signal Returns V4-ILdnNi4CgZM.mp4 |
7.30MB |
| 08. M2L4 09 Recurrent Neural Networks V5-5cYAAHyRHDo.en.vtt |
3.77KB |
| 08. M2L4 09 Recurrent Neural Networks V5-5cYAAHyRHDo.mp4 |
7.74MB |
| 08. M2L5 07 Exponentially Weighted Moving Average V4-VBPitTHzYRI.en.vtt |
4.15KB |
| 08. M2L5 07 Exponentially Weighted Moving Average V4-VBPitTHzYRI.mp4 |
8.13MB |
| 08. M2L6 11 Clustering Stocks V3-LkgCK_qPqWE.en.vtt |
1.37KB |
| 08. M2L6 11 Clustering Stocks V3-LkgCK_qPqWE.mp4 |
1.44MB |
| 08. M4 L1A 07 Rescale Part 1 V2-BcsxA0vy3jA.en.vtt |
3.46KB |
| 08. M4 L1A 07 Rescale Part 1 V2-BcsxA0vy3jA.mp4 |
4.52MB |
| 08. M4 L1B 07 Risk Factors V Alpha Factors V2-9KUpH1MDC1k.en.vtt |
4.63KB |
| 08. M4 L1B 07 Risk Factors V Alpha Factors V2-9KUpH1MDC1k.mp4 |
15.23MB |
| 08. M4 L2A 05 Covariance Matrix Of Factors V3-llA1A0vjSuI.en.vtt |
2.17KB |
| 08. M4 L2A 05 Covariance Matrix Of Factors V3-llA1A0vjSuI.mp4 |
2.72MB |
| 08. M4 L2A 19 Fama French SMB And HML V2-fnncnimScFc.en.vtt |
2.65KB |
| 08. M4 L2A 19 Fama French SMB And HML V2-fnncnimScFc.mp4 |
2.71MB |
| 08. M4 L2b 08 Writing It Down Pt 1 V3-NyDNFqm8c_s.en.vtt |
2.69KB |
| 08. M4 L2b 08 Writing It Down Pt 1 V3-NyDNFqm8c_s.mp4 |
5.43MB |
| 08. M4 L3b 06 Winners And Losers In Momentum Investing V2-84ygzbLENbE.en.vtt |
2.10KB |
| 08. M4 L3b 06 Winners And Losers In Momentum Investing V2-84ygzbLENbE.mp4 |
2.01MB |
| 08. M5 SC 3 Finding Metacharacters V1-RiSVD9E823Q.mp4 |
4.00MB |
| 08. Match Points (again).html |
9.52KB |
| 08. Match Points (again)-5j6VZr8sHo8.ar.vtt |
1.59KB |
| 08. Match Points (again)-5j6VZr8sHo8.en.vtt |
1.22KB |
| 08. Match Points (again)-5j6VZr8sHo8.mp4 |
5.13MB |
| 08. Match Points (again)-5j6VZr8sHo8.pt-BR.vtt |
1.28KB |
| 08. Match Points (again)-5j6VZr8sHo8.zh-CN.vtt |
1.01KB |
| 08. Match Points (again)-9J3IwQFXveI.ar.vtt |
510B |
| 08. Match Points (again)-9J3IwQFXveI.en.vtt |
355B |
| 08. Match Points (again)-9J3IwQFXveI.mp4 |
1.06MB |
| 08. Match Points (again)-9J3IwQFXveI.pt-BR.vtt |
369B |
| 08. Match Points (again)-9J3IwQFXveI.zh-CN.vtt |
355B |
| 08. Matrix Multiplication Quiz.html |
9.19KB |
| 08. Maximum.html |
8.23KB |
| 08. Maximum-02v8ui9riew.ar.vtt |
1.62KB |
| 08. Maximum-02v8ui9riew.en.vtt |
1.27KB |
| 08. Maximum-02v8ui9riew.es-ES.vtt |
1.28KB |
| 08. Maximum-02v8ui9riew.ja.vtt |
1.10KB |
| 08. Maximum-02v8ui9riew.mp4 |
6.58MB |
| 08. Maximum-02v8ui9riew.pt-BR.vtt |
1.29KB |
| 08. Maximum-02v8ui9riew.zh-CN.vtt |
1.07KB |
| 08. Maximum-MZoYGBZTh-g.ar.vtt |
684B |
| 08. Maximum-MZoYGBZTh-g.en.vtt |
599B |
| 08. Maximum-MZoYGBZTh-g.es-ES.vtt |
629B |
| 08. Maximum-MZoYGBZTh-g.ja.vtt |
589B |
| 08. Maximum-MZoYGBZTh-g.mp4 |
2.67MB |
| 08. Maximum-MZoYGBZTh-g.pt-BR.vtt |
736B |
| 08. Maximum-MZoYGBZTh-g.zh-CN.vtt |
522B |
| 08. Medical Example 7.html |
8.62KB |
| 08. Medical Example 7-cw_zgQbAWNU.ar.vtt |
238B |
| 08. Medical Example 7-cw_zgQbAWNU.en.vtt |
167B |
| 08. Medical Example 7-cw_zgQbAWNU.es-ES.vtt |
174B |
| 08. Medical Example 7-cw_zgQbAWNU.it.vtt |
171B |
| 08. Medical Example 7-cw_zgQbAWNU.ja.vtt |
187B |
| 08. Medical Example 7-cw_zgQbAWNU.mp4 |
803.67KB |
| 08. Medical Example 7-cw_zgQbAWNU.pt-BR.vtt |
183B |
| 08. Medical Example 7-cw_zgQbAWNU.th.vtt |
228B |
| 08. Medical Example 7-cw_zgQbAWNU.zh-CN.vtt |
152B |
| 08. Medical Example 7-jPspIs-fNxg.ar.vtt |
399B |
| 08. Medical Example 7-jPspIs-fNxg.en.vtt |
325B |
| 08. Medical Example 7-jPspIs-fNxg.es-ES.vtt |
350B |
| 08. Medical Example 7-jPspIs-fNxg.it.vtt |
314B |
| 08. Medical Example 7-jPspIs-fNxg.ja.vtt |
260B |
| 08. Medical Example 7-jPspIs-fNxg.mp4 |
1.29MB |
| 08. Medical Example 7-jPspIs-fNxg.pt-BR.vtt |
293B |
| 08. Medical Example 7-jPspIs-fNxg.th.vtt |
548B |
| 08. Medical Example 7-jPspIs-fNxg.zh-CN.vtt |
304B |
| 08. Natural Language Processing-UQBxJzoCp-I.en.vtt |
1.17KB |
| 08. Natural Language Processing-UQBxJzoCp-I.mp4 |
3.39MB |
| 08. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt |
1.30KB |
| 08. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt |
1.03KB |
| 08. Neural Networks in PyTorch.html |
7.83KB |
| 08. NLP and Pipelines.html |
5.76KB |
| 08. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt |
1.74KB |
| 08. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4 |
1.28MB |
| 08. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.pt-BR.vtt |
1.88KB |
| 08. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt |
1.53KB |
| 08. Números inteiros e floats-MiJ1vfWp-Ts.ar.vtt |
6.62KB |
| 08. Números inteiros e floats-MiJ1vfWp-Ts.en.vtt |
4.83KB |
| 08. Números inteiros e floats-MiJ1vfWp-Ts.mp4 |
15.41MB |
| 08. Números inteiros e floats-MiJ1vfWp-Ts.pt-BR.vtt |
5.02KB |
| 08. Números inteiros e floats-MiJ1vfWp-Ts.zh-CN.vtt |
4.27KB |
| 08. NumPy 4 V1-jeU7lLgyMms.en.vtt |
8.00KB |
| 08. NumPy 4 V1-jeU7lLgyMms.mp4 |
9.80MB |
| 08. NumPy 4 V1-jeU7lLgyMms.pt-BR.vtt |
8.41KB |
| 08. NumPy 4 V1-jeU7lLgyMms.zh-CN.vtt |
7.24KB |
| 08. Operations in the Field.html |
7.07KB |
| 08. Padded Features, Solution.html |
5.88KB |
| 08. Pandas 4 V1-eMHUn9v9dds.en.vtt |
6.89KB |
| 08. Pandas 4 V1-eMHUn9v9dds.mp4 |
6.93MB |
| 08. Pandas 4 V1-eMHUn9v9dds.pt-BR.vtt |
8.18KB |
| 08. Pandas 4 V1-eMHUn9v9dds.zh-CN.vtt |
6.13KB |
| 08. Part-of-Speech Tagging.html |
6.22KB |
| 08. Part-of-Speech Tagging-WFEu8bXI5OA.en.vtt |
1.67KB |
| 08. Part-of-Speech Tagging-WFEu8bXI5OA.mp4 |
2.15MB |
| 08. Part-of-Speech Tagging-WFEu8bXI5OA.pt-BR.vtt |
1.99KB |
| 08. Part-of-Speech Tagging-WFEu8bXI5OA.zh-CN.vtt |
1.48KB |
| 08. Preview of Portfolio Variance Formula.html |
7.07KB |
| 08. Price Weighting.html |
7.75KB |
| 08. Python Probability Conclusion-4JYar5GykXk.ar.vtt |
851B |
| 08. Python Probability Conclusion-4JYar5GykXk.en.vtt |
690B |
| 08. Python Probability Conclusion-4JYar5GykXk.mp4 |
2.05MB |
| 08. Python Probability Conclusion-4JYar5GykXk.pt-BR.vtt |
769B |
| 08. Python Probability Conclusion-4JYar5GykXk.zh-CN.vtt |
617B |
| 08. PyTorch V2 Part 2 V1-CSQOdOb2mlg.en.vtt |
5.83KB |
| 08. PyTorch V2 Part 2 V1-CSQOdOb2mlg.mp4 |
10.00MB |
| 08. Quiz Boolean Expressions for Conditions.html |
16.85KB |
| 08. Quiz Calculate Top and Bottom Performing.html |
6.63KB |
| 08. Quiz Pipeline Steps.html |
8.85KB |
| 08. Quiz Types of Errors - Part I.html |
11.03KB |
| 08. Recurrent Neural Networks.html |
5.73KB |
| 08. Rescale part 1.html |
6.27KB |
| 08. Risk Factors v. Alpha Factors.html |
8.41KB |
| 08. Scripting with Raw Input.html |
9.37KB |
| 08. Scripting With Raw Input-Fs9uLV2qfgI.ar.vtt |
3.88KB |
| 08. Scripting With Raw Input-Fs9uLV2qfgI.en.vtt |
2.73KB |
| 08. Scripting With Raw Input-Fs9uLV2qfgI.mp4 |
5.25MB |
| 08. Scripting With Raw Input-Fs9uLV2qfgI.pt-BR.vtt |
3.28KB |
| 08. Scripting With Raw Input-Fs9uLV2qfgI.zh-CN.vtt |
2.49KB |
| 08. Sector Neutral Exercise.html |
11.50KB |
| 08. Slicing ndarrays.html |
16.25KB |
| 08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.en.vtt |
2.38KB |
| 08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4 |
6.09MB |
| 08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.pt-BR.vtt |
2.22KB |
| 08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.zh-CN.vtt |
2.21KB |
| 08. Standard Deviation Calculation-H5zA1A-XPoY.ar.vtt |
4.83KB |
| 08. Standard Deviation Calculation-H5zA1A-XPoY.en.vtt |
3.67KB |
| 08. Standard Deviation Calculation-H5zA1A-XPoY.mp4 |
6.78MB |
| 08. Standard Deviation Calculation-H5zA1A-XPoY.pt-BR.vtt |
3.93KB |
| 08. Standard Deviation Calculation-H5zA1A-XPoY.zh-CN.vtt |
2.97KB |
| 08. Statistical vs. Practical Differences-RKHD1wzxxPA.en.vtt |
3.13KB |
| 08. Statistical vs. Practical Differences-RKHD1wzxxPA.mp4 |
8.26MB |
| 08. Statistical vs. Practical Differences-RKHD1wzxxPA.pt-BR.vtt |
3.31KB |
| 08. Statistical vs. Practical Differences-RKHD1wzxxPA.zh-CN.vtt |
2.60KB |
| 08. Survivor Bias.html |
5.75KB |
| 08. The Use Gate.html |
7.27KB |
| 08. Two Flips 1.html |
8.79KB |
| 08. Two Flips 1-1txkcmxk3vU.ar.vtt |
2.19KB |
| 08. Two Flips 1-1txkcmxk3vU.en.vtt |
1.72KB |
| 08. Two Flips 1-1txkcmxk3vU.es-ES.vtt |
1.79KB |
| 08. Two Flips 1-1txkcmxk3vU.hr.vtt |
1.68KB |
| 08. Two Flips 1-1txkcmxk3vU.it.vtt |
1.87KB |
| 08. Two Flips 1-1txkcmxk3vU.ja.vtt |
1.62KB |
| 08. Two Flips 1-1txkcmxk3vU.mp4 |
4.01MB |
| 08. Two Flips 1-1txkcmxk3vU.pt-BR.vtt |
1.91KB |
| 08. Two Flips 1-1txkcmxk3vU.th.vtt |
3.35KB |
| 08. Two Flips 1-1txkcmxk3vU.zh-CN.vtt |
1.45KB |
| 08. Two Flips 1-yUIz7SgUwJg.ar.vtt |
663B |
| 08. Two Flips 1-yUIz7SgUwJg.en.vtt |
495B |
| 08. Two Flips 1-yUIz7SgUwJg.es-ES.vtt |
535B |
| 08. Two Flips 1-yUIz7SgUwJg.hr.vtt |
530B |
| 08. Two Flips 1-yUIz7SgUwJg.it.vtt |
552B |
| 08. Two Flips 1-yUIz7SgUwJg.ja.vtt |
532B |
| 08. Two Flips 1-yUIz7SgUwJg.mp4 |
3.42MB |
| 08. Two Flips 1-yUIz7SgUwJg.pt-BR.vtt |
530B |
| 08. Two Flips 1-yUIz7SgUwJg.th.vtt |
1021B |
| 08. Two Flips 1-yUIz7SgUwJg.zh-CN.vtt |
516B |
| 08. Video Data Types (Continuous vs. Discrete).html |
9.03KB |
| 08. Video Introduction to Sampling Distributions Part III.html |
9.16KB |
| 08. Video Standard Deviation Calculation.html |
9.31KB |
| 08. Video Statistical vs. Practical Significance.html |
8.11KB |
| 08. Volume.html |
5.34KB |
| 08. Whitespace-UxkIwcOczQQ.ar.vtt |
3.96KB |
| 08. Whitespace-UxkIwcOczQQ.en.vtt |
2.99KB |
| 08. Whitespace-UxkIwcOczQQ.mp4 |
20.96MB |
| 08. Whitespace-UxkIwcOczQQ.pt-BR.vtt |
3.23KB |
| 08. Whitespace-UxkIwcOczQQ.zh-CN.vtt |
2.63KB |
| 08. Why Neural Networks.html |
8.45KB |
| 08. Why Neural Networks.html |
8.45KB |
| 08. Winners and Losers in Momentum Investing.html |
10.81KB |
| 08. Writing it Down Part 1.html |
6.38KB |
| 08. 为何是神经网络-zAkzOZntK6Y.en.vtt |
1.38KB |
| 08. 为何是神经网络-zAkzOZntK6Y.en.vtt |
1.38KB |
| 08. 为何是神经网络-zAkzOZntK6Y.mp4 |
982.27KB |
| 08. 为何是神经网络-zAkzOZntK6Y.mp4 |
982.27KB |
| 08. 为何是神经网络-zAkzOZntK6Y.pt-BR.vtt |
1.27KB |
| 08. 为何是神经网络-zAkzOZntK6Y.pt-BR.vtt |
1.27KB |
| 08. 为何是神经网络-zAkzOZntK6Y.zh-CN.vtt |
1.18KB |
| 08. 为何是神经网络-zAkzOZntK6Y.zh-CN.vtt |
1.18KB |
| 08-identify-pairs-to-trade.png |
162.42KB |
| 09. 09. Training a Model-m4GVfwVkj74.en.vtt |
2.98KB |
| 09. 09. Training a Model-m4GVfwVkj74.mp4 |
8.01MB |
| 09. 09. Training a Model-m4GVfwVkj74.zh-CN.vtt |
2.59KB |
| 09. 7 Batching Data Solution V1-nu2rjLzt1HI.en.vtt |
5.28KB |
| 09. 7 Batching Data Solution V1-nu2rjLzt1HI.mp4 |
6.06MB |
| 09. 7 Batching Data Solution V1-nu2rjLzt1HI.pt-BR.vtt |
5.21KB |
| 09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.en.vtt |
6.61KB |
| 09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.mp4 |
9.01MB |
| 09. Accessing Elements in Pandas DataFrames.html |
29.43KB |
| 09. Aggregation 3.html |
7.91KB |
| 09. Aggregation 3-tPSj6_m-0_M.ar.vtt |
92B |
| 09. Aggregation 3-tPSj6_m-0_M.en.vtt |
86B |
| 09. Aggregation 3-tPSj6_m-0_M.hr.vtt |
83B |
| 09. Aggregation 3-tPSj6_m-0_M.it.vtt |
87B |
| 09. Aggregation 3-tPSj6_m-0_M.ja.vtt |
88B |
| 09. Aggregation 3-tPSj6_m-0_M.mp4 |
220.29KB |
| 09. Aggregation 3-tPSj6_m-0_M.pt-BR.vtt |
89B |
| 09. Aggregation 3-tPSj6_m-0_M.zh-CN.vtt |
84B |
| 09. Aggregation 3-YkaVgZ-yFrM.ar.vtt |
420B |
| 09. Aggregation 3-YkaVgZ-yFrM.en.vtt |
317B |
| 09. Aggregation 3-YkaVgZ-yFrM.hr.vtt |
319B |
| 09. Aggregation 3-YkaVgZ-yFrM.it.vtt |
307B |
| 09. Aggregation 3-YkaVgZ-yFrM.ja.vtt |
305B |
| 09. Aggregation 3-YkaVgZ-yFrM.mp4 |
2.16MB |
| 09. Aggregation 3-YkaVgZ-yFrM.pt-BR.vtt |
349B |
| 09. Aggregation 3-YkaVgZ-yFrM.zh-CN.vtt |
293B |
| 09. Arbitrage.html |
6.40KB |
| 09. Arrangements.html |
7.87KB |
| 09. Arrangements-GeINbOOYkF8.ar.vtt |
2.27KB |
| 09. Arrangements-GeINbOOYkF8.en.vtt |
1.63KB |
| 09. Arrangements-GeINbOOYkF8.es-ES.vtt |
1.69KB |
| 09. Arrangements-GeINbOOYkF8.ja.vtt |
1.70KB |
| 09. Arrangements-GeINbOOYkF8.mp4 |
15.95MB |
| 09. Arrangements-GeINbOOYkF8.pt-BR.vtt |
1.92KB |
| 09. Arrangements-GeINbOOYkF8.zh-CN.vtt |
1.36KB |
| 09. Arrangements-NRPcnpmFCg8.ar.vtt |
656B |
| 09. Arrangements-NRPcnpmFCg8.en.vtt |
453B |
| 09. Arrangements-NRPcnpmFCg8.es-ES.vtt |
493B |
| 09. Arrangements-NRPcnpmFCg8.ja.vtt |
473B |
| 09. Arrangements-NRPcnpmFCg8.mp4 |
2.07MB |
| 09. Arrangements-NRPcnpmFCg8.pt-BR.vtt |
599B |
| 09. Arrangements-NRPcnpmFCg8.zh-CN.vtt |
408B |
| 09. Batching Data, Solution.html |
6.28KB |
| 09. Bayesian Learning 2.html |
6.25KB |
| 09. Boolean Indexing, Set Operations, and Sorting.html |
13.22KB |
| 09. Data Types Summary-T-KrQoAJUpI.ar.vtt |
1.14KB |
| 09. Data Types Summary-T-KrQoAJUpI.en.vtt |
828B |
| 09. Data Types Summary-T-KrQoAJUpI.mp4 |
2.21MB |
| 09. Data Types Summary-T-KrQoAJUpI.pt-BR.vtt |
919B |
| 09. Data Types Summary-T-KrQoAJUpI.zh-CN.vtt |
775B |
| 09. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.mp4 |
2.73MB |
| 09. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.mp4 |
2.73MB |
| 09. DL 09 XOR Perceptron--z9K49fdE3g.mp4 |
511.79KB |
| 09. DL 09 XOR Perceptron--z9K49fdE3g.mp4 |
511.79KB |
| 09. Entropy Formula 2.html |
7.94KB |
| 09. Equivalent Diagram.html |
9.09KB |
| 09. Equivalent Diagram-aUFWZ2uJuBE.ar.vtt |
1.44KB |
| 09. Equivalent Diagram-aUFWZ2uJuBE.en.vtt |
1.14KB |
| 09. Equivalent Diagram-aUFWZ2uJuBE.en-GB.vtt |
1.93KB |
| 09. Equivalent Diagram-aUFWZ2uJuBE.es-ES.vtt |
1.18KB |
| 09. Equivalent Diagram-aUFWZ2uJuBE.it.vtt |
1.21KB |
| 09. Equivalent Diagram-aUFWZ2uJuBE.ja.vtt |
1.08KB |
| 09. Equivalent Diagram-aUFWZ2uJuBE.mp4 |
7.38MB |
| 09. Equivalent Diagram-aUFWZ2uJuBE.pt-BR.vtt |
1.30KB |
| 09. Equivalent Diagram-aUFWZ2uJuBE.zh-CN.vtt |
1014B |
| 09. Estimation Error.html |
6.17KB |
| 09. Exercise cvxpy advanced optimization.html |
6.47KB |
| 09. Experiment II.html |
7.36KB |
| 09. Experiment II-fq4eO7CybA4.en.vtt |
1.08KB |
| 09. Experiment II-fq4eO7CybA4.mp4 |
2.31MB |
| 09. Experiment II-fq4eO7CybA4.pt-BR.vtt |
1.29KB |
| 09. Experiment II-fq4eO7CybA4.zh-CN.vtt |
987B |
| 09. Factor Model of Portfolio Return Exercise.html |
7.21KB |
| 09. Fama French Risk Model.html |
7.68KB |
| 09. Fundamental Information.html |
9.87KB |
| 09. Gaps in Market Data.html |
5.88KB |
| 09. Gaussian Function and Maximum.html |
9.32KB |
| 09. Generating Robust Trading Signals.html |
5.58KB |
| 09. Handoff to Katie.html |
6.51KB |
| 09. Handoff to Katie-knrPsGtpyQY.ar.vtt |
258B |
| 09. Handoff to Katie-knrPsGtpyQY.en.vtt |
207B |
| 09. Handoff to Katie-knrPsGtpyQY.mp4 |
782.02KB |
| 09. Handoff to Katie-knrPsGtpyQY.pt-BR.vtt |
204B |
| 09. Handoff to Katie-knrPsGtpyQY.zh-CN.vtt |
206B |
| 09. Heteroskedasticity.html |
7.14KB |
| 09. How NLP Pipelines Work.html |
5.76KB |
| 09. L1 10 Market Cap Weighting V2-7qVVA5yLFnY.en.vtt |
1.50KB |
| 09. L1 10 Market Cap Weighting V2-7qVVA5yLFnY.mp4 |
4.15MB |
| 09. L2 11 2 Arbitrage Farmers Market V1-hHxp16mQNGA.en.vtt |
2.64KB |
| 09. L2 11 2 Arbitrage Farmers Market V1-hHxp16mQNGA.mp4 |
12.22MB |
| 09. L2 11 Arbitrage V2-yp-CcGrMzYQ.en.vtt |
1.26KB |
| 09. L2 11 Arbitrage V2-yp-CcGrMzYQ.mp4 |
3.53MB |
| 09. Linear Transformation and Matrices . Part 1.html |
6.52KB |
| 09. Linear Transformations 1-99jYIxBRDww.en.vtt |
5.54KB |
| 09. Linear Transformations 1-99jYIxBRDww.mp4 |
20.77MB |
| 09. Linear Transformations 1-99jYIxBRDww.pt-BR.vtt |
5.81KB |
| 09. Linear Transformations 1-99jYIxBRDww.zh-CN.vtt |
4.67KB |
| 09. Local Minima.html |
6.13KB |
| 09. Local Minima-gF_sW_nY-xw.en.vtt |
1.14KB |
| 09. Local Minima-gF_sW_nY-xw.mp4 |
819.86KB |
| 09. Local Minima-gF_sW_nY-xw.pt-BR.vtt |
1.05KB |
| 09. Local Minima-gF_sW_nY-xw.zh-CN.vtt |
1.01KB |
| 09. M1L3 12 Gaps In Market Data V3-jMT3VbUGiZI.en.vtt |
3.28KB |
| 09. M1L3 12 Gaps In Market Data V3-jMT3VbUGiZI.mp4 |
2.80MB |
| 09. M1L6 09 Statistical Analysis V10-_p1m_q8jE6E.en.vtt |
6.22KB |
| 09. M1L6 09 Statistical Analysis V10-_p1m_q8jE6E.mp4 |
6.26MB |
| 09. M2L2 08 Generating Robust Trading Signals V3-1ikkZmVkjl0.en.vtt |
2.23KB |
| 09. M2L2 08 Generating Robust Trading Signals V3-1ikkZmVkjl0.mp4 |
2.07MB |
| 09. M2L3 08 Heteroskedasticity V2-wias9OZ1tU4.en.vtt |
1.33KB |
| 09. M2L3 08 Heteroskedasticity V2-wias9OZ1tU4.mp4 |
2.15MB |
| 09. M2L4 11 Outro V1-6sheR92KUU8.en.vtt |
425B |
| 09. M2L4 11 Outro V1-6sheR92KUU8.mp4 |
1.35MB |
| 09. M2L6 13 Trade Pairs Of Stocks V6-i1yVMrgjtB0.en.vtt |
4.80KB |
| 09. M2L6 13 Trade Pairs Of Stocks V6-i1yVMrgjtB0.mp4 |
6.32MB |
| 09. M4 L1A 08 Rescale Part 2 V3-8Ix10U6MEug.en.vtt |
4.16KB |
| 09. M4 L1A 08 Rescale Part 2 V3-8Ix10U6MEug.mp4 |
5.75MB |
| 09. M4 L1B 08 Risk Factors V Alpha Factors Part 2 V2-AApfsuSpnMY.en.vtt |
2.48KB |
| 09. M4 L1B 08 Risk Factors V Alpha Factors Part 2 V2-AApfsuSpnMY.mp4 |
7.70MB |
| 09. M4 L2A 20 Fama French Risk Model V3-tepvGkpNKrI.en.vtt |
3.93KB |
| 09. M4 L2A 20 Fama French Risk Model V3-tepvGkpNKrI.mp4 |
3.93MB |
| 09. M4 L2b 09 Writing It Down Pt 2 V2-TSH3hTAHsIg.en.vtt |
2.89KB |
| 09. M4 L2b 09 Writing It Down Pt 2 V2-TSH3hTAHsIg.mp4 |
2.77MB |
| 09. M4 L3a 06 Ranking Part 1 V4-4j2hIB7WHY4.en.vtt |
3.96KB |
| 09. M4 L3a 06 Ranking Part 1 V4-4j2hIB7WHY4.mp4 |
10.00MB |
| 09. M4 L3b 07 Winners And Losers Accelerated And Decelerated Gains And Losses V2-cdSdKl4uxVM.en.vtt |
3.88KB |
| 09. M4 L3b 07 Winners And Losers Accelerated And Decelerated Gains And Losses V2-cdSdKl4uxVM.mp4 |
4.71MB |
| 09. M4 L4 10 Estimation Error V4-WdrMIRhScN0.en.vtt |
4.93KB |
| 09. M4 L4 10 Estimation Error V4-WdrMIRhScN0.mp4 |
10.69MB |
| 09. M5 SC 4 Searching For Simple Patte V1-7RAHoJ34gXI.mp4 |
14.65MB |
| 09. Magic keywords.html |
9.91KB |
| 09. Market Cap Weighting.html |
8.82KB |
| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.en.vtt |
846B |
| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.es-ES.vtt |
869B |
| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.ja.vtt |
928B |
| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.mp4 |
8.34MB |
| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.zh-CN.vtt |
767B |
| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.en.vtt |
397B |
| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.es-ES.vtt |
408B |
| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.ja.vtt |
319B |
| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.mp4 |
1.52MB |
| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.zh-CN.vtt |
349B |
| 09. Maximum Value.html |
7.69KB |
| 09. Maximum Value-rjpcSymYulE.ar.vtt |
532B |
| 09. Maximum Value-rjpcSymYulE.en.vtt |
364B |
| 09. Maximum Value-rjpcSymYulE.es-ES.vtt |
389B |
| 09. Maximum Value-rjpcSymYulE.ja.vtt |
302B |
| 09. Maximum Value-rjpcSymYulE.mp4 |
771.83KB |
| 09. Maximum Value-rjpcSymYulE.pt-BR.vtt |
377B |
| 09. Maximum Value-rjpcSymYulE.zh-CN.vtt |
314B |
| 09. Maximum Value-z_eElEkVOPY.ar.vtt |
497B |
| 09. Maximum Value-z_eElEkVOPY.en.vtt |
387B |
| 09. Maximum Value-z_eElEkVOPY.es-ES.vtt |
367B |
| 09. Maximum Value-z_eElEkVOPY.ja.vtt |
304B |
| 09. Maximum Value-z_eElEkVOPY.mp4 |
1.79MB |
| 09. Maximum Value-z_eElEkVOPY.pt-BR.vtt |
422B |
| 09. Maximum Value-z_eElEkVOPY.zh-CN.vtt |
305B |
| 09. Mean Absolute Error.html |
6.86KB |
| 09. Mean Absolute Error-vLKiY0Ehors.en.vtt |
3.52KB |
| 09. Mean Absolute Error-vLKiY0Ehors.mp4 |
2.57MB |
| 09. Mean Absolute Error-vLKiY0Ehors.pt-BR.vtt |
3.30KB |
| 09. Measures of Spread (Calculation and Units).html |
10.08KB |
| 09. Medical Example 8.html |
8.62KB |
| 09. Medical Example 8-7k5oAaZamCA.ar.vtt |
516B |
| 09. Medical Example 8-7k5oAaZamCA.en.vtt |
416B |
| 09. Medical Example 8-7k5oAaZamCA.es-ES.vtt |
425B |
| 09. Medical Example 8-7k5oAaZamCA.it.vtt |
433B |
| 09. Medical Example 8-7k5oAaZamCA.ja.vtt |
390B |
| 09. Medical Example 8-7k5oAaZamCA.mp4 |
2.04MB |
| 09. Medical Example 8-7k5oAaZamCA.pt-BR.vtt |
397B |
| 09. Medical Example 8-7k5oAaZamCA.th.vtt |
777B |
| 09. Medical Example 8-7k5oAaZamCA.zh-CN.vtt |
380B |
| 09. Medical Example 8-btGdX0ZpkNU.ar.vtt |
899B |
| 09. Medical Example 8-btGdX0ZpkNU.en.vtt |
704B |
| 09. Medical Example 8-btGdX0ZpkNU.es-ES.vtt |
728B |
| 09. Medical Example 8-btGdX0ZpkNU.it.vtt |
764B |
| 09. Medical Example 8-btGdX0ZpkNU.ja.vtt |
608B |
| 09. Medical Example 8-btGdX0ZpkNU.mp4 |
3.50MB |
| 09. Medical Example 8-btGdX0ZpkNU.pt-BR.vtt |
589B |
| 09. Medical Example 8-btGdX0ZpkNU.th.vtt |
1.17KB |
| 09. Medical Example 8-btGdX0ZpkNU.zh-CN.vtt |
629B |
| 09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.en.vtt |
4.88KB |
| 09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.mp4 |
12.34MB |
| 09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.pt-BR.vtt |
3.90KB |
| 09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.zh-CN.vtt |
4.42KB |
| 09. MV 05 Time Management V1-22PdQNlhCt8.en.vtt |
3.09KB |
| 09. MV 05 Time Management V1-22PdQNlhCt8.mp4 |
6.03MB |
| 09. Named Entity Recognition.html |
5.70KB |
| 09. Named Entity Recognition-QUQu2nsE7vE.en.vtt |
1.10KB |
| 09. Named Entity Recognition-QUQu2nsE7vE.mp4 |
1.17MB |
| 09. Named Entity Recognition-QUQu2nsE7vE.pt-BR.vtt |
1.25KB |
| 09. Named Entity Recognition-QUQu2nsE7vE.zh-CN.vtt |
1.00KB |
| 09. Neural Networks Solution.html |
7.82KB |
| 09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt |
1.74KB |
| 09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4 |
1.28MB |
| 09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.pt-BR.vtt |
1.88KB |
| 09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt |
1.53KB |
| 09. Notebook + Quiz Sampling Distributions Python.html |
15.06KB |
| 09. NumPy 5 V1-vGjI-WTnEbY.en.vtt |
4.20KB |
| 09. NumPy 5 V1-vGjI-WTnEbY.mp4 |
5.09MB |
| 09. NumPy 5 V1-vGjI-WTnEbY.pt-BR.vtt |
4.42KB |
| 09. NumPy 5 V1-vGjI-WTnEbY.zh-CN.vtt |
3.92KB |
| 09. Pandas 5 V1-lClsJnZn_7w.en.vtt |
5.96KB |
| 09. Pandas 5 V1-lClsJnZn_7w.mp4 |
7.85MB |
| 09. Pandas 5 V1-lClsJnZn_7w.pt-BR.vtt |
7.02KB |
| 09. Pandas 5 V1-lClsJnZn_7w.zh-CN.vtt |
5.44KB |
| 09. Perceptrons as Logical Operators.html |
19.42KB |
| 09. Perceptrons as Logical Operators.html |
19.42KB |
| 09. Putting it All Together.html |
6.72KB |
| 09. Putting It All Together-IF8FlKW-Zo0.en.vtt |
2.42KB |
| 09. Putting It All Together-IF8FlKW-Zo0.mp4 |
1.58MB |
| 09. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt |
2.36KB |
| 09. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt |
2.13KB |
| 09. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.en.vtt |
7.53KB |
| 09. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.mp4 |
8.78MB |
| 09. Quiz Documentation.html |
7.57KB |
| 09. Quiz Estimate Volatility.html |
38.19KB |
| 09. Quiz Integers and Floats.html |
12.14KB |
| 09. Quiz np.cov.html |
6.68KB |
| 09. Quiz Scripting with Raw Input.html |
10.00KB |
| 09. Ranking Part 1.html |
10.86KB |
| 09. Rescale Part 2.html |
6.43KB |
| 09. Risk Factors v. Alpha Factors part 2.html |
8.32KB |
| 09. Searching For Simple Patterns.html |
7.90KB |
| 09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.en.vtt |
1.58KB |
| 09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.mp4 |
1.80MB |
| 09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.pt-BR.vtt |
1.59KB |
| 09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.zh-CN.vtt |
1.35KB |
| 09. Solution Boolean Expressions for Conditions.html |
11.22KB |
| 09. Statistical Analysis.html |
6.49KB |
| 09. Statistical vs. Practical Significance.html |
8.14KB |
| 09. Summary.html |
5.23KB |
| 09. TensorDataset Batching Data.html |
7.05KB |
| 09. Text Processing.html |
5.86KB |
| 09. Text Processing-pqheVyctkNQ.en.vtt |
2.63KB |
| 09. Text Processing-pqheVyctkNQ.mp4 |
2.96MB |
| 09. Text Processing-pqheVyctkNQ.pt-BR.vtt |
2.96KB |
| 09. Text Processing-pqheVyctkNQ.zh-CN.vtt |
2.30KB |
| 09. Time Management.html |
11.69KB |
| 09. Trade Pairs of Stocks.html |
6.16KB |
| 09. Training a Model.html |
8.14KB |
| 09. t-SNE.html |
5.37KB |
| 09. T-SNE-xxcK8oZ6_WE.en.vtt |
2.17KB |
| 09. T-SNE-xxcK8oZ6_WE.mp4 |
5.56MB |
| 09. T-SNE-xxcK8oZ6_WE.pt-BR.vtt |
2.47KB |
| 09. T-SNE-xxcK8oZ6_WE.zh-CN.vtt |
1.84KB |
| 09. Two Flips 2.html |
8.67KB |
| 09. Two Flips 2-pT0FXiH_5nI.ar.vtt |
207B |
| 09. Two Flips 2-pT0FXiH_5nI.en.vtt |
198B |
| 09. Two Flips 2-pT0FXiH_5nI.hr.vtt |
204B |
| 09. Two Flips 2-pT0FXiH_5nI.it.vtt |
213B |
| 09. Two Flips 2-pT0FXiH_5nI.ja.vtt |
194B |
| 09. Two Flips 2-pT0FXiH_5nI.mp4 |
312.59KB |
| 09. Two Flips 2-pT0FXiH_5nI.pt-BR.vtt |
186B |
| 09. Two Flips 2-pT0FXiH_5nI.th.vtt |
603B |
| 09. Two Flips 2-pT0FXiH_5nI.zh-CN.vtt |
196B |
| 09. Two Flips 2-uhrL5fatt3E.ar.vtt |
1.18KB |
| 09. Two Flips 2-uhrL5fatt3E.en.vtt |
883B |
| 09. Two Flips 2-uhrL5fatt3E.es-ES.vtt |
948B |
| 09. Two Flips 2-uhrL5fatt3E.hr.vtt |
854B |
| 09. Two Flips 2-uhrL5fatt3E.it.vtt |
945B |
| 09. Two Flips 2-uhrL5fatt3E.ja.vtt |
887B |
| 09. Two Flips 2-uhrL5fatt3E.mp4 |
3.00MB |
| 09. Two Flips 2-uhrL5fatt3E.pt-BR.vtt |
988B |
| 09. Two Flips 2-uhrL5fatt3E.th.vtt |
1.60KB |
| 09. Two Flips 2-uhrL5fatt3E.zh-CN.vtt |
787B |
| 09. Types of Errors - Part II.html |
10.32KB |
| 09. Types Of Errors - Part II-mbdSQ5CjdFs.en.vtt |
3.11KB |
| 09. Types Of Errors - Part II-mbdSQ5CjdFs.mp4 |
11.48MB |
| 09. Types Of Errors - Part II-mbdSQ5CjdFs.pt-BR.vtt |
2.99KB |
| 09. Types Of Errors - Part II-mbdSQ5CjdFs.zh-CN.vtt |
2.58KB |
| 09. Vector Addition.html |
6.75KB |
| 09. Video Data Types Summary.html |
8.23KB |
| 09. Winners and Losers Accelerated and Decelerated Gains and Losses.html |
8.29KB |
| 09. Writing it Down Part 2.html |
6.38KB |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt |
4.11KB |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt |
4.11KB |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4 |
3.66MB |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4 |
3.66MB |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt |
4.17KB |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt |
4.17KB |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt |
3.50KB |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt |
3.50KB |
| 10. 8 Word2vec Model V2-7BEYWhym8lI.en.vtt |
10.87KB |
| 10. 8 Word2vec Model V2-7BEYWhym8lI.mp4 |
11.35MB |
| 10. 8 Word2vec Model V2-7BEYWhym8lI.pt-BR.vtt |
10.26KB |
| 10. 9 DefiningModel V1-SpvIZl1YQRI.en.vtt |
5.05KB |
| 10. 9 DefiningModel V1-SpvIZl1YQRI.mp4 |
5.63MB |
| 10. Adding or Removing from an Index.html |
7.21KB |
| 10. AffdexMe Demo.html |
6.00KB |
| 10. AffdexMe Demo-dpFtXDqakvY.en.vtt |
1.91KB |
| 10. AffdexMe Demo-dpFtXDqakvY.mp4 |
13.96MB |
| 10. AffdexMe Demo-dpFtXDqakvY.zh-CN.vtt |
1.64KB |
| 10. Arbitrage for Efficient ETF Pricing.html |
8.90KB |
| 10. Bayesian Learning 3.html |
6.54KB |
| 10. Binomial 1.html |
8.00KB |
| 10. Binomial 1-07vOaYwecII.ar.vtt |
1.05KB |
| 10. Binomial 1-07vOaYwecII.en.vtt |
856B |
| 10. Binomial 1-07vOaYwecII.es-ES.vtt |
870B |
| 10. Binomial 1-07vOaYwecII.ja.vtt |
828B |
| 10. Binomial 1-07vOaYwecII.mp4 |
6.26MB |
| 10. Binomial 1-07vOaYwecII.pt-BR.vtt |
974B |
| 10. Binomial 1-07vOaYwecII.zh-CN.vtt |
751B |
| 10. Binomial 1-RBfFHxEjsIU.ar.vtt |
533B |
| 10. Binomial 1-RBfFHxEjsIU.en.vtt |
399B |
| 10. Binomial 1-RBfFHxEjsIU.es-ES.vtt |
424B |
| 10. Binomial 1-RBfFHxEjsIU.ja.vtt |
301B |
| 10. Binomial 1-RBfFHxEjsIU.mp4 |
2.43MB |
| 10. Binomial 1-RBfFHxEjsIU.pt-BR.vtt |
427B |
| 10. Binomial 1-RBfFHxEjsIU.zh-CN.vtt |
362B |
| 10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.ar.vtt |
4.05KB |
| 10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.en.vtt |
2.83KB |
| 10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 |
21.62MB |
| 10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.pt-BR.vtt |
3.36KB |
| 10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.zh-CN.vtt |
2.47KB |
| 10. Booleans, Comparison Operators, and Logical Operators.html |
11.41KB |
| 10. Cancer Probabilities.html |
11.07KB |
| 10. Cancer Probabilities-7ZLe_JP5wRY.ar.vtt |
190B |
| 10. Cancer Probabilities-7ZLe_JP5wRY.en.vtt |
152B |
| 10. Cancer Probabilities-7ZLe_JP5wRY.es-ES.vtt |
165B |
| 10. Cancer Probabilities-7ZLe_JP5wRY.it.vtt |
174B |
| 10. Cancer Probabilities-7ZLe_JP5wRY.ja.vtt |
155B |
| 10. Cancer Probabilities-7ZLe_JP5wRY.mp4 |
479.60KB |
| 10. Cancer Probabilities-7ZLe_JP5wRY.pt-BR.vtt |
216B |
| 10. Cancer Probabilities-7ZLe_JP5wRY.zh-CN.vtt |
158B |
| 10. Cancer Probabilities-CMQBKuYjPBM.ar.vtt |
615B |
| 10. Cancer Probabilities-CMQBKuYjPBM.en.vtt |
455B |
| 10. Cancer Probabilities-CMQBKuYjPBM.en-GB.vtt |
868B |
| 10. Cancer Probabilities-CMQBKuYjPBM.es-ES.vtt |
471B |
| 10. Cancer Probabilities-CMQBKuYjPBM.it.vtt |
456B |
| 10. Cancer Probabilities-CMQBKuYjPBM.ja.vtt |
420B |
| 10. Cancer Probabilities-CMQBKuYjPBM.mp4 |
2.85MB |
| 10. Cancer Probabilities-CMQBKuYjPBM.pt-BR.vtt |
523B |
| 10. Cancer Probabilities-CMQBKuYjPBM.zh-CN.vtt |
408B |
| 10. Converting notebooks.html |
7.04KB |
| 10. Cross Sectional Model.html |
6.85KB |
| 10. Dealing with NaN.html |
32.94KB |
| 10. Defining the Model.html |
5.85KB |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt |
420B |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt |
420B |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4 |
260.01KB |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4 |
260.01KB |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt |
364B |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt |
364B |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt |
390B |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt |
390B |
| 10. Entropy Formula 3.html |
7.09KB |
| 10. Entropy Formula-w73JTBVeyjE.en.vtt |
2.93KB |
| 10. Entropy Formula-w73JTBVeyjE.mp4 |
8.00MB |
| 10. Entropy Formula-w73JTBVeyjE.pt-BR.vtt |
2.61KB |
| 10. Entropy Formula-w73JTBVeyjE.zh-CN.vtt |
2.54KB |
| 10. Exercise finding pairs.html |
6.48KB |
| 10. Feature Extraction.html |
5.92KB |
| 10. Feature Extraction-UgENzCmfFWE.en.vtt |
3.82KB |
| 10. Feature Extraction-UgENzCmfFWE.mp4 |
3.47MB |
| 10. Feature Extraction-UgENzCmfFWE.pt-BR.vtt |
4.24KB |
| 10. Feature Extraction-UgENzCmfFWE.zh-CN.vtt |
3.34KB |
| 10. Forecasting Volatility.html |
5.87KB |
| 10. For Loops.html |
14.21KB |
| 10. For Loops-UtX0PXSUCdY.ar.vtt |
9.73KB |
| 10. For Loops-UtX0PXSUCdY.en.vtt |
6.73KB |
| 10. For Loops-UtX0PXSUCdY.mp4 |
18.44MB |
| 10. For Loops-UtX0PXSUCdY.pt-BR.vtt |
7.29KB |
| 10. For Loops-UtX0PXSUCdY.zh-CN.vtt |
6.20KB |
| 10. Gender Bias Revisited.html |
8.23KB |
| 10. Gender Bias Revisited-4YY-hmqSz30.ar.vtt |
312B |
| 10. Gender Bias Revisited-4YY-hmqSz30.en.vtt |
246B |
| 10. Gender Bias Revisited-4YY-hmqSz30.hr.vtt |
252B |
| 10. Gender Bias Revisited-4YY-hmqSz30.it.vtt |
239B |
| 10. Gender Bias Revisited-4YY-hmqSz30.ja.vtt |
236B |
| 10. Gender Bias Revisited-4YY-hmqSz30.mp4 |
1.21MB |
| 10. Gender Bias Revisited-4YY-hmqSz30.pt-BR.vtt |
218B |
| 10. Gender Bias Revisited-4YY-hmqSz30.zh-CN.vtt |
232B |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.ar.vtt |
1.61KB |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.en.vtt |
1.19KB |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.hr.vtt |
1.11KB |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.it.vtt |
1.28KB |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.ja.vtt |
1.14KB |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.mp4 |
7.49MB |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.pt-BR.vtt |
1.08KB |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.zh-CN.vtt |
1.00KB |
| 10. Implementing Softmax Solution.html |
7.89KB |
| 10. Infeasible Problems.html |
6.19KB |
| 10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.en.vtt |
1.64KB |
| 10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.mp4 |
1.84MB |
| 10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.zh-CN.vtt |
1.36KB |
| 10. K-Means Cluster Visualization.html |
8.28KB |
| 10. K-Means Cluster Visualization-iCTPBcowJRY.ar.vtt |
2.07KB |
| 10. K-Means Cluster Visualization-iCTPBcowJRY.en.vtt |
1.55KB |
| 10. K-Means Cluster Visualization-iCTPBcowJRY.mp4 |
3.34MB |
| 10. K-Means Cluster Visualization-iCTPBcowJRY.pt-BR.vtt |
1.45KB |
| 10. K-Means Cluster Visualization-iCTPBcowJRY.zh-CN.vtt |
1.32KB |
| 10. K-Means Cluster Visualization-ZMfwPUrOFsE.ar.vtt |
583B |
| 10. K-Means Cluster Visualization-ZMfwPUrOFsE.en.vtt |
451B |
| 10. K-Means Cluster Visualization-ZMfwPUrOFsE.mp4 |
1.14MB |
| 10. K-Means Cluster Visualization-ZMfwPUrOFsE.pt-BR.vtt |
454B |
| 10. K-Means Cluster Visualization-ZMfwPUrOFsE.zh-CN.vtt |
424B |
| 10. L1 11 Adding Or Removing From An Index V2-_bWIZWa20j8.en.vtt |
1.69KB |
| 10. L1 11 Adding Or Removing From An Index V2-_bWIZWa20j8.mp4 |
4.15MB |
| 10. L2 12 Misaligned ETF Pricing V3-5-pBZ3fyv6I.en.vtt |
2.13KB |
| 10. L2 12 Misaligned ETF Pricing V3-5-pBZ3fyv6I.mp4 |
3.55MB |
| 10. L2 13 Realigning ETF Share Prices V2-aRXJxjQQSiI.en.vtt |
1.79KB |
| 10. L2 13 Realigning ETF Share Prices V2-aRXJxjQQSiI.mp4 |
1.74MB |
| 10. L3 08 The Efficient Frontier V3-tEEyhU23bI4.en.vtt |
5.62KB |
| 10. L3 08 The Efficient Frontier V3-tEEyhU23bI4.mp4 |
7.22MB |
| 10. L4 11 Rebalancing A Portfolio V2-S5SPhBpG3b0.en.vtt |
5.03KB |
| 10. L4 11 Rebalancing A Portfolio V2-S5SPhBpG3b0.mp4 |
14.19MB |
| 10. Linear Transformation and Matrices. Part 2.html |
6.38KB |
| 10. Linear Transformations 2-imtEd8M6__s.en.vtt |
4.92KB |
| 10. Linear Transformations 2-imtEd8M6__s.mp4 |
13.49MB |
| 10. Linear Transformations 2-imtEd8M6__s.pt-BR.vtt |
5.20KB |
| 10. Linear Transformations 2-imtEd8M6__s.zh-CN.vtt |
4.29KB |
| 10. M1L3 14 Markets In Different Timezones V3-wmmEpPM-HVs.en.vtt |
1.90KB |
| 10. M1L3 14 Markets In Different Timezones V3-wmmEpPM-HVs.mp4 |
2.78MB |
| 10. M2L2 09 Outro V1-r1SWu-7Rzf0.en.vtt |
565B |
| 10. M2L2 09 Outro V1-r1SWu-7Rzf0.mp4 |
1.29MB |
| 10. M2L3 09 Transforming Data V3-N8Fhq8wiQZU.en.vtt |
3.34KB |
| 10. M2L3 09 Transforming Data V3-N8Fhq8wiQZU.mp4 |
4.82MB |
| 10. M2L5 09 Forecasting Volatility V3-82v4v_PKDAE.en.vtt |
4.32KB |
| 10. M2L5 09 Forecasting Volatility V3-82v4v_PKDAE.mp4 |
5.60MB |
| 10. M4 L1A 09 Overview For Standardizing A Factor V3-0clT0lnrTrU.en.vtt |
842B |
| 10. M4 L1A 09 Overview For Standardizing A Factor V3-0clT0lnrTrU.mp4 |
1.54MB |
| 10. M4 L1B 09 Risk Factors V Alpha Factors Part 3 V1-UmdOVhcRCVU.en.vtt |
3.29KB |
| 10. M4 L1B 09 Risk Factors V Alpha Factors Part 3 V1-UmdOVhcRCVU.mp4 |
10.49MB |
| 10. M4 L2A 06 Variance Of One Stock V3-rxaABg4wVZo.en.vtt |
2.64KB |
| 10. M4 L2A 06 Variance Of One Stock V3-rxaABg4wVZo.mp4 |
3.49MB |
| 10. M4 L2A 21 Cross Sectional Risk Model V3-mpnRAt8qUus.en.vtt |
2.63KB |
| 10. M4 L2A 21 Cross Sectional Risk Model V3-mpnRAt8qUus.mp4 |
3.48MB |
| 10. M4 L2b 10 Writing It Down Pt 3 V3-kSl0j4QIMIU.en.vtt |
2.59KB |
| 10. M4 L2b 10 Writing It Down Pt 3 V3-kSl0j4QIMIU.mp4 |
2.51MB |
| 10. M4 L3a 07 Ranking Part 2 V2-uwPUV5LBhWY.en.vtt |
2.35KB |
| 10. M4 L3a 07 Ranking Part 2 V2-uwPUV5LBhWY.mp4 |
3.77MB |
| 10. M4 L3b 08 Winners And Losers Approximating Curves With Polynomials V4-Nw6v2EeECt0.en.vtt |
3.40KB |
| 10. M4 L3b 08 Winners And Losers Approximating Curves With Polynomials V4-Nw6v2EeECt0.mp4 |
5.83MB |
| 10. M4 L4 12 Infeasible Problems V4-ljg25Rj511Q.en.vtt |
4.04KB |
| 10. M4 L4 12 Infeasible Problems V4-ljg25Rj511Q.mp4 |
7.53MB |
| 10. M5 SC 5 Word Boundaries V1-3dWIHULqKog.mp4 |
13.61MB |
| 10. Manipulating ndarrays.html |
7.25KB |
| 10. Markets in Different Timezones.html |
5.80KB |
| 10. Mean Squared Error.html |
6.86KB |
| 10. Mean Squared Error-MRyxmZDngI4.en.vtt |
2.49KB |
| 10. Mean Squared Error-MRyxmZDngI4.mp4 |
1.83MB |
| 10. Mean Squared Error-MRyxmZDngI4.pt-BR.vtt |
2.26KB |
| 10. Metric - Enrollment Rate.html |
10.45KB |
| 10. Minimum.html |
8.47KB |
| 10. Minimum-MEbJxfw3NVs.ar.vtt |
886B |
| 10. Minimum-MEbJxfw3NVs.en.vtt |
715B |
| 10. Minimum-MEbJxfw3NVs.es-ES.vtt |
741B |
| 10. Minimum-MEbJxfw3NVs.ja.vtt |
627B |
| 10. Minimum-MEbJxfw3NVs.mp4 |
3.51MB |
| 10. Minimum-MEbJxfw3NVs.pt-BR.vtt |
699B |
| 10. Minimum-MEbJxfw3NVs.zh-CN.vtt |
579B |
| 10. Minimum-tiv8VKPL7jg.ar.vtt |
518B |
| 10. Minimum-tiv8VKPL7jg.en.vtt |
357B |
| 10. Minimum-tiv8VKPL7jg.es-ES.vtt |
357B |
| 10. Minimum-tiv8VKPL7jg.ja.vtt |
310B |
| 10. Minimum-tiv8VKPL7jg.mp4 |
1.69MB |
| 10. Minimum-tiv8VKPL7jg.pt-BR.vtt |
373B |
| 10. Minimum-tiv8VKPL7jg.zh-CN.vtt |
325B |
| 10. NLP Summary-B9ul8fsQYOA.en.vtt |
688B |
| 10. NLP Summary-B9ul8fsQYOA.mp4 |
1.38MB |
| 10. NLP Summary-B9ul8fsQYOA.zh-CN.vtt |
624B |
| 10. Other architectures.html |
7.09KB |
| 10. Other Architectures-MsxFDuYlTuQ.en.vtt |
2.31KB |
| 10. Other Architectures-MsxFDuYlTuQ.mp4 |
1.71MB |
| 10. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt |
2.45KB |
| 10. Other Architectures-MsxFDuYlTuQ.zh-CN.vtt |
2.04KB |
| 10. Overview for standardizing a factor.html |
6.44KB |
| 10. Pandas 6 V1-GS1kj04XQcM.en.vtt |
6.34KB |
| 10. Pandas 6 V1-GS1kj04XQcM.mp4 |
7.87MB |
| 10. Pandas 6 V1-GS1kj04XQcM.pt-BR.vtt |
7.49KB |
| 10. Pandas 6 V1-GS1kj04XQcM.zh-CN.vtt |
5.63KB |
| 10. Perceptron Algorithm--zhTROHtscQ.en.vtt |
2.64KB |
| 10. Perceptron Algorithm--zhTROHtscQ.en.vtt |
2.64KB |
| 10. Perceptron Algorithm--zhTROHtscQ.mp4 |
1.92MB |
| 10. Perceptron Algorithm--zhTROHtscQ.mp4 |
1.92MB |
| 10. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt |
2.41KB |
| 10. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt |
2.41KB |
| 10. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt |
2.35KB |
| 10. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt |
2.35KB |
| 10. Perceptron Trick.html |
12.22KB |
| 10. Perceptron Trick.html |
12.22KB |
| 10. Price Earnings Ratio.html |
8.50KB |
| 10. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.en.vtt |
12.12KB |
| 10. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.mp4 |
16.70MB |
| 10. Quiz Shifting the Mean.html |
9.00KB |
| 10. Quiz Types of Errors - Part II(a).html |
13.36KB |
| 10. Random Restart.html |
6.14KB |
| 10. Random Restart-idyBBCzXiqg.en.vtt |
466B |
| 10. Random Restart-idyBBCzXiqg.mp4 |
394.99KB |
| 10. Random Restart-idyBBCzXiqg.pt-BR.vtt |
478B |
| 10. Random Restart-idyBBCzXiqg.zh-CN.vtt |
419B |
| 10. Ranking Part 2.html |
10.86KB |
| 10. Rebalancing a Portfolio.html |
5.84KB |
| 10. Risk Factors v. Alpha Factors part 3.html |
7.85KB |
| 10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.en.vtt |
3.21KB |
| 10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.mp4 |
9.33MB |
| 10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.pt-BR.vtt |
3.00KB |
| 10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.zh-CN.vtt |
2.74KB |
| 10. Solution Documentation.html |
7.34KB |
| 10. Solution Scripting with Raw Input.html |
8.23KB |
| 10. Stemming and Lemmatization.html |
5.71KB |
| 10. Stemming And Lemmatization-7Gjf81u5hmw.en.vtt |
4.77KB |
| 10. Stemming And Lemmatization-7Gjf81u5hmw.mp4 |
4.93MB |
| 10. Stemming And Lemmatization-7Gjf81u5hmw.pt-BR.vtt |
5.02KB |
| 10. Stemming And Lemmatization-7Gjf81u5hmw.zh-CN.vtt |
4.26KB |
| 10. Summary.html |
5.45KB |
| 10. Summary.html |
5.29KB |
| 10. Text + Quiz Data Types (Ordinal vs. Nominal).html |
14.74KB |
| 10. Text Introduction to the Standard Deviation and Variance.html |
12.80KB |
| 10. Text Processing.html |
5.94KB |
| 10. Text Processing-pqheVyctkNQ.en.vtt |
2.63KB |
| 10. Text Processing-pqheVyctkNQ.mp4 |
2.96MB |
| 10. Text Processing-pqheVyctkNQ.pt-BR.vtt |
2.96KB |
| 10. Text Processing-pqheVyctkNQ.zh-CN.vtt |
2.30KB |
| 10. Text Sampling Distribution Notes.html |
9.91KB |
| 10. The Efficient Frontier.html |
6.89KB |
| 10. The Many Meanings of Alpha.html |
7.55KB |
| 10. Total Probability.html |
6.68KB |
| 10. Total Probability-YSYpzFR4k1I.ar.vtt |
2.48KB |
| 10. Total Probability-YSYpzFR4k1I.en.vtt |
1.90KB |
| 10. Total Probability-YSYpzFR4k1I.es-ES.vtt |
1.98KB |
| 10. Total Probability-YSYpzFR4k1I.it.vtt |
1.99KB |
| 10. Total Probability-YSYpzFR4k1I.ja.vtt |
1.59KB |
| 10. Total Probability-YSYpzFR4k1I.mp4 |
11.54MB |
| 10. Total Probability-YSYpzFR4k1I.pt-BR.vtt |
1.80KB |
| 10. Total Probability-YSYpzFR4k1I.th.vtt |
3.38KB |
| 10. Total Probability-YSYpzFR4k1I.zh-CN.vtt |
1.75KB |
| 10. Traditional Confidence Interval Methods-DmZwYHuz2eM.en.vtt |
1.66KB |
| 10. Traditional Confidence Interval Methods-DmZwYHuz2eM.mp4 |
7.87MB |
| 10. Traditional Confidence Interval Methods-DmZwYHuz2eM.pt-BR.vtt |
1.81KB |
| 10. Traditional Confidence Interval Methods-DmZwYHuz2eM.zh-CN.vtt |
1.37KB |
| 10. Transforming Data.html |
6.26KB |
| 10. Two Flips 3.html |
9.45KB |
| 10. Two Flips 3-3NSPqjp6pFY.ar.vtt |
547B |
| 10. Two Flips 3-3NSPqjp6pFY.en.vtt |
432B |
| 10. Two Flips 3-3NSPqjp6pFY.es-ES.vtt |
473B |
| 10. Two Flips 3-3NSPqjp6pFY.hr.vtt |
469B |
| 10. Two Flips 3-3NSPqjp6pFY.it.vtt |
435B |
| 10. Two Flips 3-3NSPqjp6pFY.ja.vtt |
397B |
| 10. Two Flips 3-3NSPqjp6pFY.mp4 |
1.12MB |
| 10. Two Flips 3-3NSPqjp6pFY.pt-BR.vtt |
496B |
| 10. Two Flips 3-3NSPqjp6pFY.zh-CN.vtt |
379B |
| 10. Two Flips 3-uimwo-puQWY.ar.vtt |
254B |
| 10. Two Flips 3-uimwo-puQWY.en.vtt |
210B |
| 10. Two Flips 3-uimwo-puQWY.hr.vtt |
197B |
| 10. Two Flips 3-uimwo-puQWY.it.vtt |
210B |
| 10. Two Flips 3-uimwo-puQWY.ja.vtt |
194B |
| 10. Two Flips 3-uimwo-puQWY.mp4 |
920.84KB |
| 10. Two Flips 3-uimwo-puQWY.pt-BR.vtt |
219B |
| 10. Two Flips 3-uimwo-puQWY.th.vtt |
359B |
| 10. Two Flips 3-uimwo-puQWY.zh-CN.vtt |
177B |
| 10. Variance of one stock.html |
7.04KB |
| 10. Vectors- Quiz 2.html |
7.83KB |
| 10. Video Traditional Confidence Intervals.html |
8.89KB |
| 10. Winners and Losers approximating curves with polynomials.html |
8.26KB |
| 10. Word2Vec Model.html |
6.23KB |
| 10. Word Boundaries.html |
7.85KB |
| 10. Writing it Down Part 3.html |
6.38KB |
| 11. 9 Model Validation Loss V2-GKDCq8J76tM.en.vtt |
8.79KB |
| 11. 9 Model Validation Loss V2-GKDCq8J76tM.mp4 |
13.67MB |
| 11. 9 Model Validation Loss V2-GKDCq8J76tM.pt-BR.vtt |
8.31KB |
| 11. A different approach.html |
6.18KB |
| 11. Answer Shifting the Mean.html |
7.58KB |
| 11. Arithmetic operations and Broadcasting.html |
17.27KB |
| 11. Binomial 2.html |
8.00KB |
| 11. Binomial 2-d4LWnxyvrTQ.ar.vtt |
265B |
| 11. Binomial 2-d4LWnxyvrTQ.en.vtt |
222B |
| 11. Binomial 2-d4LWnxyvrTQ.es-ES.vtt |
238B |
| 11. Binomial 2-d4LWnxyvrTQ.ja.vtt |
197B |
| 11. Binomial 2-d4LWnxyvrTQ.mp4 |
1.06MB |
| 11. Binomial 2-d4LWnxyvrTQ.pt-BR.vtt |
246B |
| 11. Binomial 2-d4LWnxyvrTQ.zh-CN.vtt |
182B |
| 11. Binomial 2-Uy7b3aMPnEY.ar.vtt |
202B |
| 11. Binomial 2-Uy7b3aMPnEY.en.vtt |
165B |
| 11. Binomial 2-Uy7b3aMPnEY.es-ES.vtt |
170B |
| 11. Binomial 2-Uy7b3aMPnEY.ja.vtt |
190B |
| 11. Binomial 2-Uy7b3aMPnEY.mp4 |
1.86MB |
| 11. Binomial 2-Uy7b3aMPnEY.pt-BR.vtt |
284B |
| 11. Binomial 2-Uy7b3aMPnEY.zh-CN.vtt |
150B |
| 11. Capital Market Line.html |
6.63KB |
| 11. Complete Sentiment RNN.html |
12.18KB |
| 11. Creating a slideshow.html |
7.87KB |
| 11. Dangers of Statistics.html |
6.06KB |
| 11. Dangers Of Statistics-UYZXqP562qg.ar.vtt |
1.07KB |
| 11. Dangers Of Statistics-UYZXqP562qg.en.vtt |
754B |
| 11. Dangers Of Statistics-UYZXqP562qg.mp4 |
2.50MB |
| 11. Dangers Of Statistics-UYZXqP562qg.pt-BR.vtt |
802B |
| 11. Dangers Of Statistics-UYZXqP562qg.zh-CN.vtt |
707B |
| 11. Data Types (Continuous vs. Discrete).html |
9.67KB |
| 11. Emotion as a Service.html |
5.66KB |
| 11. Emotion as a Service-2jAP3rP3USM.en.vtt |
887B |
| 11. Emotion as a Service-2jAP3rP3USM.mp4 |
3.60MB |
| 11. Emotion as a Service-2jAP3rP3USM.zh-CN.vtt |
809B |
| 11. Errors and Exceptions.html |
8.72KB |
| 11. Errors And Exceptions-DmthSiy2d0U.ar.vtt |
3.67KB |
| 11. Errors And Exceptions-DmthSiy2d0U.en.vtt |
2.78KB |
| 11. Errors And Exceptions-DmthSiy2d0U.mp4 |
3.39MB |
| 11. Errors And Exceptions-DmthSiy2d0U.pt-BR.vtt |
3.03KB |
| 11. Errors And Exceptions-DmthSiy2d0U.zh-CN.vtt |
2.60KB |
| 11. Exchange Traded Funds.html |
5.79KB |
| 11. Feature Extraction.html |
5.99KB |
| 11. Feature Extraction-UgENzCmfFWE.en.vtt |
3.82KB |
| 11. Feature Extraction-UgENzCmfFWE.mp4 |
3.47MB |
| 11. Feature Extraction-UgENzCmfFWE.pt-BR.vtt |
4.24KB |
| 11. Feature Extraction-UgENzCmfFWE.zh-CN.vtt |
3.34KB |
| 11. How an alpha factor becomes a risk factor part 1.html |
7.48KB |
| 11. How an Index is Constructed.html |
9.18KB |
| 11. Implementing RNNs.html |
7.09KB |
| 11. Introduction To Notation-ISkBSUVH49M.ar.vtt |
1.45KB |
| 11. Introduction To Notation-ISkBSUVH49M.en.vtt |
1.10KB |
| 11. Introduction To Notation-ISkBSUVH49M.mp4 |
3.24MB |
| 11. Introduction To Notation-ISkBSUVH49M.pt-BR.vtt |
1.22KB |
| 11. Introduction To Notation-ISkBSUVH49M.zh-CN.vtt |
982B |
| 11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.en.vtt |
632B |
| 11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.mp4 |
451.32KB |
| 11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.zh-CN.vtt |
533B |
| 11. K-Means Clustering Visualization 2.html |
7.09KB |
| 11. K-Means Clustering Visualization 2-fQXXa-CAoS0.ar.vtt |
4.85KB |
| 11. K-Means Clustering Visualization 2-fQXXa-CAoS0.en.vtt |
3.51KB |
| 11. K-Means Clustering Visualization 2-fQXXa-CAoS0.mp4 |
10.53MB |
| 11. K-Means Clustering Visualization 2-fQXXa-CAoS0.pt-BR.vtt |
3.39KB |
| 11. K-Means Clustering Visualization 2-fQXXa-CAoS0.zh-CN.vtt |
3.04KB |
| 11. L1 12 How An Index Is Constructed V2-dsbi4dvdU9c.en.vtt |
1.91KB |
| 11. L1 12 How An Index Is Constructed V2-dsbi4dvdU9c.mp4 |
5.26MB |
| 11. L2 14 Summary V1-E5br2PiH8kY.en.vtt |
792B |
| 11. L2 14 Summary V1-E5br2PiH8kY.mp4 |
3.20MB |
| 11. L3 09 Capital Market Line V2-BRO-vo3y0-U.en.vtt |
6.24KB |
| 11. L3 09 Capital Market Line V2-BRO-vo3y0-U.mp4 |
11.25MB |
| 11. L4 08 Lambda Expressions V3-wkEmPz1peJM.en.vtt |
2.18KB |
| 11. L4 08 Lambda Expressions V3-wkEmPz1peJM.mp4 |
7.99MB |
| 11. L4 08 Lambda Expressions V3-wkEmPz1peJM.pt-BR.vtt |
2.68KB |
| 11. L4 08 Lambda Expressions V3-wkEmPz1peJM.zh-CN.vtt |
1.93KB |
| 11. L4 12 Rebalancing Strategies V2-8u5gBx-fYr8.en.vtt |
5.73KB |
| 11. L4 12 Rebalancing Strategies V2-8u5gBx-fYr8.mp4 |
15.62MB |
| 11. Lambda Expressions.html |
8.30KB |
| 11. Linear Regression.html |
6.26KB |
| 11. Linear Transformation and Matrices. Part 3.html |
6.19KB |
| 11. Linear Transformations 3-g_yTyRwMzXU.en.vtt |
5.12KB |
| 11. Linear Transformations 3-g_yTyRwMzXU.mp4 |
20.09MB |
| 11. Linear Transformations 3-g_yTyRwMzXU.pt-BR.vtt |
5.21KB |
| 11. Linear Transformations 3-g_yTyRwMzXU.zh-CN.vtt |
4.51KB |
| 11. M1L3 15 Outro V2-XVvfToYCsmo.en.vtt |
878B |
| 11. M1L3 15 Outro V2-XVvfToYCsmo.mp4 |
1.96MB |
| 11. M1L4 13 Exchange Traded Funds V4-Zx7v5GCfpvI.en.vtt |
6.62KB |
| 11. M1L4 13 Exchange Traded Funds V4-Zx7v5GCfpvI.mp4 |
18.91MB |
| 11. M2L3 10 Linear Regression V4-GRY4eakMBJ8.en.vtt |
4.46KB |
| 11. M2L3 10 Linear Regression V4-GRY4eakMBJ8.mp4 |
7.80MB |
| 11. M2L5 11 Markets Volatility V3-jEHJkZUX9s4.en.vtt |
5.25KB |
| 11. M2L5 11 Markets Volatility V3-jEHJkZUX9s4.mp4 |
12.46MB |
| 11. M4 L1B 11 How An Alpha Factor Becomes A Risk Factor Part 1 V3-p0cTudt8kXI.en.vtt |
2.48KB |
| 11. M4 L1B 11 How An Alpha Factor Becomes A Risk Factor Part 1 V3-p0cTudt8kXI.mp4 |
3.64MB |
| 11. M4 L2A 07 Taking Constants Out Of Variance And Covariance Optional V3-M9R9870m_o0.en.vtt |
1.87KB |
| 11. M4 L2A 07 Taking Constants Out Of Variance And Covariance Optional V3-M9R9870m_o0.mp4 |
1.87MB |
| 11. M4 L2A 22 Cross Sectional Risk Model A Different Approach V2-LauZ7h4bgKE.en.vtt |
2.22KB |
| 11. M4 L2A 22 Cross Sectional Risk Model A Different Approach V2-LauZ7h4bgKE.mp4 |
1.84MB |
| 11. M4 L2b 11 Writing It Down Pt 4 V3-7XO-syqIpCE.en.vtt |
2.07KB |
| 11. M4 L2b 11 Writing It Down Pt 4 V3-7XO-syqIpCE.mp4 |
1.92MB |
| 11. M4 L4 14 Transaction Costs V3-yxwqTvbJhhc.en.vtt |
3.56KB |
| 11. M4 L4 14 Transaction Costs V3-yxwqTvbJhhc.mp4 |
4.97MB |
| 11. M5 SC 6 Metacharacters Part 1 V1-Jay3euM62NQ.mp4 |
8.61MB |
| 11. Manipulate a DataFrame.html |
10.29KB |
| 11. Markets Volatility.html |
5.86KB |
| 11. MetaCharacters Part 1.html |
7.88KB |
| 11. Metric - Average Reading Duration.html |
7.48KB |
| 11. Metric - Average Reading Duration-w6Y9ZxHDEbw.en.vtt |
2.58KB |
| 11. Metric - Average Reading Duration-w6Y9ZxHDEbw.mp4 |
3.32MB |
| 11. Metric - Average Reading Duration-w6Y9ZxHDEbw.pt-BR.vtt |
3.07KB |
| 11. Metric - Average Reading Duration-w6Y9ZxHDEbw.zh-CN.vtt |
2.14KB |
| 11. Minimizing Error Functions.html |
8.89KB |
| 11. Minimizing Error Functions-RbT2TXN_6tY.en.vtt |
4.50KB |
| 11. Minimizing Error Functions-RbT2TXN_6tY.mp4 |
3.85MB |
| 11. Minimizing Error Functions-RbT2TXN_6tY.pt-BR.vtt |
4.58KB |
| 11. Minimum Value.html |
7.68KB |
| 11. Minimum Value-LconwqN7hJs.ar.vtt |
463B |
| 11. Minimum Value-LconwqN7hJs.en.vtt |
358B |
| 11. Minimum Value-LconwqN7hJs.es-ES.vtt |
388B |
| 11. Minimum Value-LconwqN7hJs.ja.vtt |
323B |
| 11. Minimum Value-LconwqN7hJs.mp4 |
893.30KB |
| 11. Minimum Value-LconwqN7hJs.pt-BR.vtt |
332B |
| 11. Minimum Value-LconwqN7hJs.zh-CN.vtt |
316B |
| 11. Minimum Value-LNzmJUj8K8w.ar.vtt |
152B |
| 11. Minimum Value-LNzmJUj8K8w.en.vtt |
130B |
| 11. Minimum Value-LNzmJUj8K8w.es-ES.vtt |
141B |
| 11. Minimum Value-LNzmJUj8K8w.ja.vtt |
118B |
| 11. Minimum Value-LNzmJUj8K8w.mp4 |
661.10KB |
| 11. Minimum Value-LNzmJUj8K8w.pt-BR.vtt |
171B |
| 11. Minimum Value-LNzmJUj8K8w.zh-CN.vtt |
113B |
| 11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.en.vtt |
6.47KB |
| 11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.mp4 |
5.14MB |
| 11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.pt-BR.vtt |
6.23KB |
| 11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.zh-CN.vtt |
5.56KB |
| 11. Modeling.html |
5.57KB |
| 11. Modeling-P4w_2rkxBvE.en.vtt |
1.29KB |
| 11. Modeling-P4w_2rkxBvE.mp4 |
1.19MB |
| 11. Modeling-P4w_2rkxBvE.pt-BR.vtt |
1.44KB |
| 11. Modeling-P4w_2rkxBvE.zh-CN.vtt |
1.09KB |
| 11. Model Validations.html |
6.27KB |
| 11. Multiclass Entropy.html |
8.53KB |
| 11. Naive Bayes Algorithm 1.html |
7.64KB |
| 11. Network Architectures in PyTorch.html |
7.92KB |
| 11. NumPy 6 V1-wtLRuGK0kW4.en.vtt |
5.58KB |
| 11. NumPy 6 V1-wtLRuGK0kW4.mp4 |
6.61MB |
| 11. NumPy 6 V1-wtLRuGK0kW4.pt-BR.vtt |
5.81KB |
| 11. NumPy 6 V1-wtLRuGK0kW4.zh-CN.vtt |
4.90KB |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt |
3.45KB |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt |
3.45KB |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4 |
2.87MB |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4 |
2.87MB |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt |
3.27KB |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt |
3.27KB |
| 11. Perceptron Algorithm.html |
15.87KB |
| 11. Perceptron Algorithm.html |
15.87KB |
| 11. Practice For Loops.html |
10.59KB |
| 11. Probability Given Test.html |
10.47KB |
| 11. Probability Given Test-41HCYR-NW-w.ar.vtt |
524B |
| 11. Probability Given Test-41HCYR-NW-w.en.vtt |
370B |
| 11. Probability Given Test-41HCYR-NW-w.es-ES.vtt |
412B |
| 11. Probability Given Test-41HCYR-NW-w.ja.vtt |
350B |
| 11. Probability Given Test-41HCYR-NW-w.mp4 |
2.56MB |
| 11. Probability Given Test-41HCYR-NW-w.pt-BR.vtt |
501B |
| 11. Probability Given Test-41HCYR-NW-w.zh-CN.vtt |
298B |
| 11. Probability Given Test-omC0zbJyzUY.ar.vtt |
1000B |
| 11. Probability Given Test-omC0zbJyzUY.en.vtt |
790B |
| 11. Probability Given Test-omC0zbJyzUY.es-ES.vtt |
757B |
| 11. Probability Given Test-omC0zbJyzUY.ja.vtt |
716B |
| 11. Probability Given Test-omC0zbJyzUY.mp4 |
6.72MB |
| 11. Probability Given Test-omC0zbJyzUY.pt-BR.vtt |
899B |
| 11. Probability Given Test-omC0zbJyzUY.zh-CN.vtt |
609B |
| 11. PyTorch V2 Part 3 V1-9ILiZwbi9dA.en.vtt |
15.28KB |
| 11. PyTorch V2 Part 3 V1-9ILiZwbi9dA.mp4 |
18.80MB |
| 11. Quiz Booleans, Comparison Operators, and Logical Operators.html |
11.37KB |
| 11. Quiz dollar neutral and leverage ratio.html |
7.73KB |
| 11. Quiz Test Returns for Statistical Significance.html |
10.40KB |
| 11. Quiz Types of Errors - Part II(b).html |
21.63KB |
| 11. Ranking in Zipline.html |
15.76KB |
| 11. Rebalancing Strategies.html |
6.11KB |
| 11. Scalar by Vector Multiplication.html |
6.63KB |
| 11. ScreenCast Traditional Confidence Interval Methods.html |
7.99KB |
| 11. Summary.html |
5.34KB |
| 11. Summary.html |
5.53KB |
| 11. Summary.html |
5.58KB |
| 11. Summary-zKYEvRd2XmI.en.vtt |
1.11KB |
| 11. Summary-zKYEvRd2XmI.mp4 |
977.95KB |
| 11. Summary-zKYEvRd2XmI.pt-BR.vtt |
1.25KB |
| 11. Summary-zKYEvRd2XmI.zh-CN.vtt |
984B |
| 11. Taking constants out of Variance and Covariance (optional).html |
8.02KB |
| 11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.en.vtt |
3.28KB |
| 11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.mp4 |
3.89MB |
| 11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.pt-BR.vtt |
3.00KB |
| 11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.zh-CN.vtt |
2.70KB |
| 11. Transaction Costs.html |
6.18KB |
| 11. Two Coins 1.html |
8.59KB |
| 11. Two Coins 1-QIQBb4nLsHc.ar.vtt |
847B |
| 11. Two Coins 1-QIQBb4nLsHc.en.vtt |
655B |
| 11. Two Coins 1-QIQBb4nLsHc.es-ES.vtt |
729B |
| 11. Two Coins 1-QIQBb4nLsHc.it.vtt |
702B |
| 11. Two Coins 1-QIQBb4nLsHc.ja.vtt |
717B |
| 11. Two Coins 1-QIQBb4nLsHc.mp4 |
4.61MB |
| 11. Two Coins 1-QIQBb4nLsHc.pt-BR.vtt |
688B |
| 11. Two Coins 1-QIQBb4nLsHc.th.vtt |
1.54KB |
| 11. Two Coins 1-QIQBb4nLsHc.zh-CN.vtt |
616B |
| 11. Two Coins 1-SYnYIjLpbjE.ar.vtt |
286B |
| 11. Two Coins 1-SYnYIjLpbjE.en.vtt |
245B |
| 11. Two Coins 1-SYnYIjLpbjE.es-ES.vtt |
258B |
| 11. Two Coins 1-SYnYIjLpbjE.it.vtt |
240B |
| 11. Two Coins 1-SYnYIjLpbjE.ja.vtt |
237B |
| 11. Two Coins 1-SYnYIjLpbjE.mp4 |
1.42MB |
| 11. Two Coins 1-SYnYIjLpbjE.pt-BR.vtt |
285B |
| 11. Two Coins 1-SYnYIjLpbjE.th.vtt |
415B |
| 11. Two Coins 1-SYnYIjLpbjE.zh-CN.vtt |
244B |
| 11. Two Flips 4.html |
8.68KB |
| 11. Two Flips 4-bNoS6LQEFrI.ar.vtt |
900B |
| 11. Two Flips 4-bNoS6LQEFrI.en.vtt |
715B |
| 11. Two Flips 4-bNoS6LQEFrI.es-ES.vtt |
748B |
| 11. Two Flips 4-bNoS6LQEFrI.hr.vtt |
690B |
| 11. Two Flips 4-bNoS6LQEFrI.it.vtt |
742B |
| 11. Two Flips 4-bNoS6LQEFrI.ja.vtt |
623B |
| 11. Two Flips 4-bNoS6LQEFrI.mp4 |
2.98MB |
| 11. Two Flips 4-bNoS6LQEFrI.pt-BR.vtt |
728B |
| 11. Two Flips 4-bNoS6LQEFrI.zh-CN.vtt |
658B |
| 11. Two Flips 4-rRPwknIDuI0.ar.vtt |
303B |
| 11. Two Flips 4-rRPwknIDuI0.en.vtt |
247B |
| 11. Two Flips 4-rRPwknIDuI0.es-ES.vtt |
252B |
| 11. Two Flips 4-rRPwknIDuI0.hr.vtt |
216B |
| 11. Two Flips 4-rRPwknIDuI0.it.vtt |
248B |
| 11. Two Flips 4-rRPwknIDuI0.ja.vtt |
216B |
| 11. Two Flips 4-rRPwknIDuI0.mp4 |
663.40KB |
| 11. Two Flips 4-rRPwknIDuI0.pt-BR.vtt |
209B |
| 11. Two Flips 4-rRPwknIDuI0.th.vtt |
423B |
| 11. Two Flips 4-rRPwknIDuI0.zh-CN.vtt |
228B |
| 11. Vanishing Gradient.html |
6.17KB |
| 11. Vanishing Gradient-W_JJm_5syFw.en.vtt |
1.46KB |
| 11. Vanishing Gradient-W_JJm_5syFw.mp4 |
1.32MB |
| 11. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt |
1.56KB |
| 11. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt |
1.24KB |
| 11. Variations of Pairs Trading and Mean Reversion Trading.html |
7.83KB |
| 11. Video Introduction to Notation.html |
8.68KB |
| 11. Video Why the Standard Deviation.html |
9.06KB |
| 11. Why the Standard Deviation-XlTBvjQ2t8w.ar.vtt |
2.14KB |
| 11. Why the Standard Deviation-XlTBvjQ2t8w.en.vtt |
1.60KB |
| 11. Why the Standard Deviation-XlTBvjQ2t8w.mp4 |
6.54MB |
| 11. Why the Standard Deviation-XlTBvjQ2t8w.pt-BR.vtt |
1.61KB |
| 11. Why the Standard Deviation-XlTBvjQ2t8w.zh-CN.vtt |
1.30KB |
| 11. Winners and Losers Content Quiz.html |
9.48KB |
| 11. Writing it Down Part 4.html |
6.38KB |
| 12. [Preview] Project Mimic Me!.html |
16.65KB |
| 12. 02 Time Series Prediction V2-xV5jHLFfJbQ.en.vtt |
10.86KB |
| 12. 02 Time Series Prediction V2-xV5jHLFfJbQ.mp4 |
14.80MB |
| 12. 02 Time Series Prediction V2-xV5jHLFfJbQ.pt-BR.vtt |
10.48KB |
| 12. 10 NegativeSampling V1-gnCwdegYNsQ.en.vtt |
7.03KB |
| 12. 10 NegativeSampling V1-gnCwdegYNsQ.mp4 |
9.51MB |
| 12. 10 NegativeSampling V1-gnCwdegYNsQ.pt-BR.vtt |
7.41KB |
| 12. 3 or more stocks (optional).html |
8.70KB |
| 12. Binomial 3.html |
7.83KB |
| 12. Binomial 3-Jp2xJOtNQZ0.ar.vtt |
819B |
| 12. Binomial 3-Jp2xJOtNQZ0.en.vtt |
628B |
| 12. Binomial 3-Jp2xJOtNQZ0.es-ES.vtt |
665B |
| 12. Binomial 3-Jp2xJOtNQZ0.ja.vtt |
572B |
| 12. Binomial 3-Jp2xJOtNQZ0.mp4 |
4.67MB |
| 12. Binomial 3-Jp2xJOtNQZ0.pt-BR.vtt |
694B |
| 12. Binomial 3-Jp2xJOtNQZ0.zh-CN.vtt |
554B |
| 12. Binomial 3-YIELbuet-ZE.ar.vtt |
1.85KB |
| 12. Binomial 3-YIELbuet-ZE.en.vtt |
1.27KB |
| 12. Binomial 3-YIELbuet-ZE.es-ES.vtt |
1.27KB |
| 12. Binomial 3-YIELbuet-ZE.ja.vtt |
1.15KB |
| 12. Binomial 3-YIELbuet-ZE.mp4 |
7.14MB |
| 12. Binomial 3-YIELbuet-ZE.pt-BR.vtt |
1.46KB |
| 12. Binomial 3-YIELbuet-ZE.zh-CN.vtt |
1.06KB |
| 12. Breusch Pagan in Depth (Optional).html |
7.84KB |
| 12. Categorical Factors.html |
6.83KB |
| 12. Creating ndarrays with Broadcasting.html |
7.13KB |
| 12. Errors and Exceptions.html |
11.98KB |
| 12. Finishing up.html |
5.76KB |
| 12. Hang Seng Index Construction.html |
8.66KB |
| 12. How an alpha factor becomes a risk factor part 2.html |
8.60KB |
| 12. Index vs ETF.html |
6.59KB |
| 12. Interlude Meditation.html |
5.59KB |
| 12. Introduction to Summary Statistics-PCZmHCrcMcw.ar.vtt |
3.17KB |
| 12. Introduction to Summary Statistics-PCZmHCrcMcw.en.vtt |
2.34KB |
| 12. Introduction to Summary Statistics-PCZmHCrcMcw.mp4 |
3.98MB |
| 12. Introduction to Summary Statistics-PCZmHCrcMcw.pt-BR.vtt |
2.56KB |
| 12. Introduction to Summary Statistics-PCZmHCrcMcw.zh-CN.vtt |
2.07KB |
| 12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.en.vtt |
979B |
| 12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.mp4 |
768.11KB |
| 12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.zh-CN.vtt |
859B |
| 12. K-Means Clustering Visualization 3.html |
6.65KB |
| 12. K-Means Clustering Visualization 3-WfwX3B4d8_I.ar.vtt |
3.67KB |
| 12. K-Means Clustering Visualization 3-WfwX3B4d8_I.en.vtt |
2.59KB |
| 12. K-Means Clustering Visualization 3-WfwX3B4d8_I.mp4 |
6.92MB |
| 12. K-Means Clustering Visualization 3-WfwX3B4d8_I.pt-BR.vtt |
2.55KB |
| 12. K-Means Clustering Visualization 3-WfwX3B4d8_I.zh-CN.vtt |
2.27KB |
| 12. L1 13 Hang Seng Index Construction V2-rdGdC-meRLU.en.vtt |
1.92KB |
| 12. L1 13 Hang Seng Index Construction V2-rdGdC-meRLU.mp4 |
5.77MB |
| 12. L4 13 Limitations V2-UbbZa7-3iuk.en.vtt |
9.13KB |
| 12. L4 13 Limitations V2-UbbZa7-3iuk.mp4 |
23.20MB |
| 12. Limitations of the Classical Approach.html |
6.15KB |
| 12. Linear Transformation Quiz Answers.html |
12.21KB |
| 12. Loading Data into a Pandas DataFrame.html |
35.19KB |
| 12. M2L5 12 Using Volatility For Equity Trading V5-Vh9ajVRedvY.en.vtt |
6.52KB |
| 12. M2L5 12 Using Volatility For Equity Trading V5-Vh9ajVRedvY.mp4 |
15.13MB |
| 12. M4 L1B 12 How An Alpha Factor Becomes A Risk Factor Part 2 V1-9waaTtRaU-Y.en.vtt |
3.06KB |
| 12. M4 L1B 12 How An Alpha Factor Becomes A Risk Factor Part 2 V1-9waaTtRaU-Y.mp4 |
9.44MB |
| 12. M4 L2A 08 Variance Of 2 Stocks Part 1 V3-PlPusmuR20k.en.vtt |
3.92KB |
| 12. M4 L2A 08 Variance Of 2 Stocks Part 1 V3-PlPusmuR20k.mp4 |
3.96MB |
| 12. M4 L2A 23 Categorical Factors V2-F76juAxHVIk.en.vtt |
3.18KB |
| 12. M4 L2A 23 Categorical Factors V2-F76juAxHVIk.mp4 |
2.92MB |
| 12. M4 L2b 13 Principal Components V3-XtecKk58CLs.en.vtt |
1.97KB |
| 12. M4 L2b 13 Principal Components V3-XtecKk58CLs.mp4 |
2.38MB |
| 12. M4 L3b 09 Winners And Losers Creating A Joint Factor V3-xmW05ii8Vxs.en.vtt |
4.18KB |
| 12. M4 L3b 09 Winners And Losers Creating A Joint Factor V3-xmW05ii8Vxs.mp4 |
11.15MB |
| 12. M5 SC 7 Metacharacters Part 2 V1-KK1xo8GDfvE.mp4 |
22.56MB |
| 12. Mean vs Total Error.html |
8.16KB |
| 12. MetaCharacters Part 2.html |
7.88KB |
| 12. Metric - Average Classroom Time.html |
10.66KB |
| 12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.en.vtt |
771B |
| 12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.mp4 |
2.16MB |
| 12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.pt-BR.vtt |
723B |
| 12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.zh-CN.vtt |
727B |
| 12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.en.vtt |
1.74KB |
| 12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.mp4 |
1.41MB |
| 12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.pt-BR.vtt |
1.70KB |
| 12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.zh-CN.vtt |
1.50KB |
| 12. Modeling.html |
5.65KB |
| 12. Modeling-P4w_2rkxBvE.en.vtt |
1.29KB |
| 12. Modeling-P4w_2rkxBvE.mp4 |
1.19MB |
| 12. Modeling-P4w_2rkxBvE.pt-BR.vtt |
1.44KB |
| 12. Modeling-P4w_2rkxBvE.zh-CN.vtt |
1.09KB |
| 12. MV 11 Guided Meditation V1-njp1mnEEv9s.en.vtt |
3.93KB |
| 12. MV 11 Guided Meditation V1-njp1mnEEv9s.mp4 |
9.45MB |
| 12. Naive Bayes Algorithm 2.html |
6.29KB |
| 12. Negative Sampling.html |
6.25KB |
| 12. Network Architectures Solution.html |
8.04KB |
| 12. Non-Linear Regions.html |
8.42KB |
| 12. Non-Linear Regions.html |
8.42KB |
| 12. Non-Linear Regions-B8UrWnHh1Wc.en.vtt |
1.77KB |
| 12. Non-Linear Regions-B8UrWnHh1Wc.en.vtt |
1.77KB |
| 12. Non-Linear Regions-B8UrWnHh1Wc.mp4 |
1.33MB |
| 12. Non-Linear Regions-B8UrWnHh1Wc.mp4 |
1.33MB |
| 12. Non-Linear Regions-B8UrWnHh1Wc.pt-BR.vtt |
1.51KB |
| 12. Non-Linear Regions-B8UrWnHh1Wc.pt-BR.vtt |
1.51KB |
| 12. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt |
1.57KB |
| 12. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt |
1.57KB |
| 12. Normalizer.html |
9.97KB |
| 12. Normalizer.html |
6.17KB |
| 12. Normalizer-G9yQ_URDrDQ.ar.vtt |
144B |
| 12. Normalizer-G9yQ_URDrDQ.en.vtt |
129B |
| 12. Normalizer-G9yQ_URDrDQ.es-ES.vtt |
138B |
| 12. Normalizer-G9yQ_URDrDQ.ja.vtt |
132B |
| 12. Normalizer-G9yQ_URDrDQ.mp4 |
603.29KB |
| 12. Normalizer-G9yQ_URDrDQ.pt-BR.vtt |
125B |
| 12. Normalizer-G9yQ_URDrDQ.zh-CN.vtt |
129B |
| 12. Normalizer-mQ_IjrtmmAk.ar.vtt |
2.43KB |
| 12. Normalizer-mQ_IjrtmmAk.en.vtt |
1.92KB |
| 12. Normalizer-mQ_IjrtmmAk.es-ES.vtt |
2.01KB |
| 12. Normalizer-mQ_IjrtmmAk.ja.vtt |
1.76KB |
| 12. Normalizer-mQ_IjrtmmAk.mp4 |
7.25MB |
| 12. Normalizer-mQ_IjrtmmAk.pt-BR.vtt |
2.10KB |
| 12. Normalizer-mQ_IjrtmmAk.zh-CN.vtt |
1.61KB |
| 12. Normalizer-W5i-gRAvZxs.ar.vtt |
163B |
| 12. Normalizer-W5i-gRAvZxs.en.vtt |
136B |
| 12. Normalizer-W5i-gRAvZxs.es-ES.vtt |
140B |
| 12. Normalizer-W5i-gRAvZxs.ja.vtt |
134B |
| 12. Normalizer-W5i-gRAvZxs.mp4 |
754.47KB |
| 12. Normalizer-W5i-gRAvZxs.pt-BR.vtt |
162B |
| 12. Normalizer-W5i-gRAvZxs.zh-CN.vtt |
123B |
| 12. Notation Parameters vs. Statistics-webref_dLrA.ar.vtt |
1.99KB |
| 12. Notation Parameters vs. Statistics-webref_dLrA.en.vtt |
1.59KB |
| 12. Notation Parameters vs. Statistics-webref_dLrA.mp4 |
6.33MB |
| 12. Notation Parameters vs. Statistics-webref_dLrA.pt-BR.vtt |
1.71KB |
| 12. Notation Parameters vs. Statistics-webref_dLrA.zh-CN.vtt |
1.27KB |
| 12. Other Activation Functions.html |
6.53KB |
| 12. Other Activation Functions-kA-1vUt6cvQ.en.vtt |
2.68KB |
| 12. Other Activation Functions-kA-1vUt6cvQ.mp4 |
2.30MB |
| 12. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt |
2.55KB |
| 12. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt |
2.34KB |
| 12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.en.vtt |
2.22KB |
| 12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.mp4 |
6.30MB |
| 12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.pt-BR.vtt |
2.17KB |
| 12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.zh-CN.vtt |
1.75KB |
| 12. Pandas 7 V1-ruTYp-twXO0.en.vtt |
5.40KB |
| 12. Pandas 7 V1-ruTYp-twXO0.mp4 |
8.09MB |
| 12. Pandas 7 V1-ruTYp-twXO0.pt-BR.vtt |
6.50KB |
| 12. Pandas 7 V1-ruTYp-twXO0.zh-CN.vtt |
4.77KB |
| 12. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.en.vtt |
15.36KB |
| 12. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.mp4 |
21.27MB |
| 12. Quiz Information Gain.html |
8.78KB |
| 12. Quiz Lambda Expressions.html |
9.45KB |
| 12. Quiz Predicting the Peak.html |
8.94KB |
| 12. Quiz Statistical Analysis.html |
9.00KB |
| 12. Ranking exercise.html |
11.49KB |
| 12. Solution Booleans, Comparison and Logical Operators.html |
9.29KB |
| 12. Solution For Loops Practice.html |
8.89KB |
| 12. Text Recap + Next Steps.html |
6.45KB |
| 12. The Principal Components.html |
6.38KB |
| 12. The Sharpe Ratio.html |
10.45KB |
| 12. Time-Series Prediction.html |
7.38KB |
| 12. Training the Model.html |
12.53KB |
| 12. Two Coins 2.html |
8.49KB |
| 12. Two Coins 2-hoVOT8qcQ7c.ar.vtt |
2.12KB |
| 12. Two Coins 2-hoVOT8qcQ7c.en.vtt |
1.61KB |
| 12. Two Coins 2-hoVOT8qcQ7c.es-ES.vtt |
1.72KB |
| 12. Two Coins 2-hoVOT8qcQ7c.it.vtt |
1.76KB |
| 12. Two Coins 2-hoVOT8qcQ7c.ja.vtt |
1.68KB |
| 12. Two Coins 2-hoVOT8qcQ7c.mp4 |
10.92MB |
| 12. Two Coins 2-hoVOT8qcQ7c.pt-BR.vtt |
1.53KB |
| 12. Two Coins 2-hoVOT8qcQ7c.th.vtt |
3.25KB |
| 12. Two Coins 2-hoVOT8qcQ7c.zh-CN.vtt |
1.55KB |
| 12. Two Coins 2-tI0J14yQr1s.ar.vtt |
1.04KB |
| 12. Two Coins 2-tI0J14yQr1s.en.vtt |
798B |
| 12. Two Coins 2-tI0J14yQr1s.es-ES.vtt |
837B |
| 12. Two Coins 2-tI0J14yQr1s.it.vtt |
832B |
| 12. Two Coins 2-tI0J14yQr1s.ja.vtt |
819B |
| 12. Two Coins 2-tI0J14yQr1s.mp4 |
4.52MB |
| 12. Two Coins 2-tI0J14yQr1s.pt-BR.vtt |
702B |
| 12. Two Coins 2-tI0J14yQr1s.th.vtt |
1.64KB |
| 12. Two Coins 2-tI0J14yQr1s.zh-CN.vtt |
713B |
| 12. Two Flips 5.html |
8.79KB |
| 12. Two Flips 5-G28YyiGFGWA.ar.vtt |
437B |
| 12. Two Flips 5-G28YyiGFGWA.en.vtt |
349B |
| 12. Two Flips 5-G28YyiGFGWA.es-ES.vtt |
366B |
| 12. Two Flips 5-G28YyiGFGWA.hr.vtt |
383B |
| 12. Two Flips 5-G28YyiGFGWA.it.vtt |
382B |
| 12. Two Flips 5-G28YyiGFGWA.ja.vtt |
370B |
| 12. Two Flips 5-G28YyiGFGWA.mp4 |
2.15MB |
| 12. Two Flips 5-G28YyiGFGWA.pt-BR.vtt |
377B |
| 12. Two Flips 5-G28YyiGFGWA.th.vtt |
654B |
| 12. Two Flips 5-G28YyiGFGWA.zh-CN.vtt |
348B |
| 12. Two Flips 5-HB8b7sZQFGs.ar.vtt |
650B |
| 12. Two Flips 5-HB8b7sZQFGs.en.vtt |
549B |
| 12. Two Flips 5-HB8b7sZQFGs.es-ES.vtt |
566B |
| 12. Two Flips 5-HB8b7sZQFGs.hr.vtt |
575B |
| 12. Two Flips 5-HB8b7sZQFGs.it.vtt |
598B |
| 12. Two Flips 5-HB8b7sZQFGs.ja.vtt |
527B |
| 12. Two Flips 5-HB8b7sZQFGs.mp4 |
990.87KB |
| 12. Two Flips 5-HB8b7sZQFGs.pt-BR.vtt |
516B |
| 12. Two Flips 5-HB8b7sZQFGs.th.vtt |
729B |
| 12. Two Flips 5-HB8b7sZQFGs.zh-CN.vtt |
558B |
| 12. Types of Errors - Part III.html |
10.43KB |
| 12. Types Of Errors - Part III-Z-srkCPsdaM.en.vtt |
2.90KB |
| 12. Types Of Errors - Part III-Z-srkCPsdaM.mp4 |
3.94MB |
| 12. Types Of Errors - Part III-Z-srkCPsdaM.pt-BR.vtt |
2.94KB |
| 12. Types Of Errors - Part III-Z-srkCPsdaM.zh-CN.vtt |
2.54KB |
| 12. Using Volatility for Equity Trading.html |
5.93KB |
| 12. Variance of 2 stocks part 1.html |
7.31KB |
| 12. Variance Standard Deviation Final Points-vXUgp2375j4.ar.vtt |
2.80KB |
| 12. Variance Standard Deviation Final Points-vXUgp2375j4.en.vtt |
1.91KB |
| 12. Variance Standard Deviation Final Points-vXUgp2375j4.mp4 |
5.31MB |
| 12. Variance Standard Deviation Final Points-vXUgp2375j4.pt-BR.vtt |
2.14KB |
| 12. Variance Standard Deviation Final Points-vXUgp2375j4.zh-CN.vtt |
1.59KB |
| 12. Vectors Quiz 3.html |
8.99KB |
| 12. Video Important Final Points.html |
10.62KB |
| 12. Video Introduction to Summary Statistics.html |
8.36KB |
| 12. Video Notation for Parameters vs. Statistics.html |
11.78KB |
| 12. Video Other Language Associated with Confidence Intervals.html |
8.25KB |
| 12. Will the Portfolios Be Different.html |
7.26KB |
| 12. Winners and Losers Creating a joint factor.html |
8.19KB |
| 12. Zipline Pipeline.html |
6.68KB |
| 12. Zipline Pipeline SC V1-DHTwIwVk_sc.en.vtt |
14.24KB |
| 12. Zipline Pipeline SC V1-DHTwIwVk_sc.mp4 |
23.46MB |
| 13. 03 Training Memory V1-sx7T_KP5v9I.en.vtt |
7.85KB |
| 13. 03 Training Memory V1-sx7T_KP5v9I.mp4 |
9.57MB |
| 13. 03 Training Memory V1-sx7T_KP5v9I.pt-BR.vtt |
7.42KB |
| 13. Advanced Standard Deviation and Variance.html |
12.41KB |
| 13. Alternate Data.html |
5.75KB |
| 13. Answer Predicting the Peak.html |
7.59KB |
| 13. Batch vs Stochastic Gradient Descent.html |
6.29KB |
| 13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt |
4.64KB |
| 13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 |
3.95MB |
| 13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt |
4.63KB |
| 13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt |
4.10KB |
| 13. Binomial 4.html |
7.83KB |
| 13. Binomial 4-lPrKmvckG4E.ar.vtt |
1.39KB |
| 13. Binomial 4-lPrKmvckG4E.en.vtt |
1.12KB |
| 13. Binomial 4-lPrKmvckG4E.es-ES.vtt |
1.11KB |
| 13. Binomial 4-lPrKmvckG4E.ja.vtt |
1.08KB |
| 13. Binomial 4-lPrKmvckG4E.mp4 |
2.95MB |
| 13. Binomial 4-lPrKmvckG4E.pt-BR.vtt |
1.48KB |
| 13. Binomial 4-lPrKmvckG4E.zh-CN.vtt |
966B |
| 13. Binomial 4-mvJUNYfHngY.ar.vtt |
654B |
| 13. Binomial 4-mvJUNYfHngY.en.vtt |
479B |
| 13. Binomial 4-mvJUNYfHngY.es-ES.vtt |
502B |
| 13. Binomial 4-mvJUNYfHngY.ja.vtt |
403B |
| 13. Binomial 4-mvJUNYfHngY.mp4 |
2.75MB |
| 13. Binomial 4-mvJUNYfHngY.pt-BR.vtt |
500B |
| 13. Binomial 4-mvJUNYfHngY.zh-CN.vtt |
403B |
| 13. Breakout Strategies.html |
5.85KB |
| 13. Building a Spam Classifier.html |
7.25KB |
| 13. Calculating the Mean-1nzZxmJ8xvU.ar.vtt |
3.11KB |
| 13. Calculating the Mean-1nzZxmJ8xvU.en.vtt |
2.36KB |
| 13. Calculating the Mean-1nzZxmJ8xvU.mp4 |
5.46MB |
| 13. Calculating the Mean-1nzZxmJ8xvU.pt-BR.vtt |
2.56KB |
| 13. Calculating the Mean-1nzZxmJ8xvU.zh-CN.vtt |
2.12KB |
| 13. Case Study in Python.html |
17.64KB |
| 13. Categorical Variable Estimation.html |
6.88KB |
| 13. Details of Johansen Test (optional).html |
11.26KB |
| 13. Error Functions.html |
8.40KB |
| 13. Error Functions.html |
8.40KB |
| 13. Error Functions-YfUUunxWIJw.en.vtt |
790B |
| 13. Error Functions-YfUUunxWIJw.en.vtt |
790B |
| 13. Error Functions-YfUUunxWIJw.mp4 |
3.54MB |
| 13. Error Functions-YfUUunxWIJw.mp4 |
3.54MB |
| 13. Error Functions-YfUUunxWIJw.pt-BR.vtt |
804B |
| 13. Error Functions-YfUUunxWIJw.pt-BR.vtt |
804B |
| 13. Error Functions-YfUUunxWIJw.zh-CN.vtt |
739B |
| 13. Error Functions-YfUUunxWIJw.zh-CN.vtt |
739B |
| 13. Explained Variance.html |
6.68KB |
| 13. Finding Alpha.html |
5.95KB |
| 13. Formula Summary.html |
6.22KB |
| 13. Formula Summary-zqo1RJEHT_0.ar.vtt |
2.60KB |
| 13. Formula Summary-zqo1RJEHT_0.en.vtt |
2.05KB |
| 13. Formula Summary-zqo1RJEHT_0.es-ES.vtt |
2.13KB |
| 13. Formula Summary-zqo1RJEHT_0.ja.vtt |
1.86KB |
| 13. Formula Summary-zqo1RJEHT_0.mp4 |
12.55MB |
| 13. Formula Summary-zqo1RJEHT_0.pt-BR.vtt |
2.21KB |
| 13. Formula Summary-zqo1RJEHT_0.zh-CN.vtt |
1.61KB |
| 13. Getting Set Up for the Mini-Project.html |
6.55KB |
| 13. Getting Set Up for the Mini-Project.html |
6.64KB |
| 13. Handling Errors.html |
11.26KB |
| 13. Handling Error Specifying Exceptions-EHW5I7shdJg.ar.vtt |
2.89KB |
| 13. Handling Error Specifying Exceptions-EHW5I7shdJg.en.vtt |
2.04KB |
| 13. Handling Error Specifying Exceptions-EHW5I7shdJg.mp4 |
3.15MB |
| 13. Handling Error Specifying Exceptions-EHW5I7shdJg.pt-BR.vtt |
2.31KB |
| 13. Handling Error Specifying Exceptions-EHW5I7shdJg.zh-CN.vtt |
1.94KB |
| 13. Handling Errors Try Except Finally-S6hwBZG0KwM.ar.vtt |
4.30KB |
| 13. Handling Errors Try Except Finally-S6hwBZG0KwM.en.vtt |
2.97KB |
| 13. Handling Errors Try Except Finally-S6hwBZG0KwM.mp4 |
4.24MB |
| 13. Handling Errors Try Except Finally-S6hwBZG0KwM.pt-BR.vtt |
3.39KB |
| 13. Handling Errors Try Except Finally-S6hwBZG0KwM.zh-CN.vtt |
2.82KB |
| 13. Index after Add or Delete.html |
7.21KB |
| 13. Information Gain-k9iZL53PAmw.en.vtt |
3.35KB |
| 13. Information Gain-k9iZL53PAmw.mp4 |
9.24MB |
| 13. Information Gain-k9iZL53PAmw.pt-BR.vtt |
2.81KB |
| 13. Information Gain-k9iZL53PAmw.zh-CN.vtt |
2.90KB |
| 13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.en.vtt |
815B |
| 13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.mp4 |
677.46KB |
| 13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.zh-CN.vtt |
686B |
| 13. L1 15 Calculating Index After Add Or Delete V2-hiAHRE6JY0k.en.vtt |
1.29KB |
| 13. L1 15 Calculating Index After Add Or Delete V2-hiAHRE6JY0k.mp4 |
3.70MB |
| 13. L4 14 Recap V1-e3qJYCQfJD0.en.vtt |
783B |
| 13. L4 14 Recap V1-e3qJYCQfJD0.mp4 |
2.61MB |
| 13. M1L4 16 Alternate Data V2-DFwu2ysGY8c.en.vtt |
1.24KB |
| 13. M1L4 16 Alternate Data V2-DFwu2ysGY8c.mp4 |
4.10MB |
| 13. M1L6 12 Finding Alpha V1-r8lfWVhfQC0.en.vtt |
1.75KB |
| 13. M1L6 12 Finding Alpha V1-r8lfWVhfQC0.mp4 |
4.53MB |
| 13. M2L5 13 Breakout Strategies V4-9eamk40DMu0.en.vtt |
2.62KB |
| 13. M2L5 13 Breakout Strategies V4-9eamk40DMu0.mp4 |
2.63MB |
| 13. M4 L1B 13 Momentum Or Reversal V3-izTAHVF6V_g.en.vtt |
2.53KB |
| 13. M4 L1B 13 Momentum Or Reversal V3-izTAHVF6V_g.mp4 |
3.57MB |
| 13. M4 L2A 09 Variance Of 2 Stocks Part 2 V4-tSMutw0f6OE.en.vtt |
1.86KB |
| 13. M4 L2A 09 Variance Of 2 Stocks Part 2 V4-tSMutw0f6OE.mp4 |
1.96MB |
| 13. M4 L2A 24 Categorical Variable Estimation V4-50hvTluqz3U.en.vtt |
4.51KB |
| 13. M4 L2A 24 Categorical Variable Estimation V4-50hvTluqz3U.mp4 |
4.22MB |
| 13. M4 L2b 14 Explained Variance V3-OdHeReNUqoQ.en.vtt |
5.10KB |
| 13. M4 L2b 14 Explained Variance V3-OdHeReNUqoQ.mp4 |
8.69MB |
| 13. M4 L3a 08 Z Score V3-6_cKCoLa92o.en.vtt |
3.86KB |
| 13. M4 L3a 08 Z Score V3-6_cKCoLa92o.mp4 |
7.47MB |
| 13. M4 L4 17 Path Dependency 1 V3-ok9rKYRtZLE.en.vtt |
4.91KB |
| 13. M4 L4 17 Path Dependency 1 V3-ok9rKYRtZLE.mp4 |
11.60MB |
| 13. M5 SC 8 Metacharacters Part 3 V1-nDlxRlDUNHk.mp4 |
17.63MB |
| 13. MetaCharacters Part 3.html |
7.88KB |
| 13. Metric - Completion Rate.html |
9.72KB |
| 13. Mini-batch Gradient Descent.html |
8.48KB |
| 13. Momentum or Reversal.html |
7.35KB |
| 13. Normalizing Probability.html |
10.92KB |
| 13. Normalizing Probability-V_Gqm42WodI.ar.vtt |
481B |
| 13. Normalizing Probability-V_Gqm42WodI.en.vtt |
353B |
| 13. Normalizing Probability-V_Gqm42WodI.es-ES.vtt |
390B |
| 13. Normalizing Probability-V_Gqm42WodI.ja.vtt |
332B |
| 13. Normalizing Probability-V_Gqm42WodI.mp4 |
2.17MB |
| 13. Normalizing Probability-V_Gqm42WodI.pt-BR.vtt |
440B |
| 13. Normalizing Probability-V_Gqm42WodI.th.vtt |
717B |
| 13. Normalizing Probability-V_Gqm42WodI.zh-CN.vtt |
320B |
| 13. Normalizing Probability-yYqN9Mf4jqw.ar.vtt |
1.59KB |
| 13. Normalizing Probability-yYqN9Mf4jqw.en.vtt |
1.11KB |
| 13. Normalizing Probability-yYqN9Mf4jqw.es-ES.vtt |
1.23KB |
| 13. Normalizing Probability-yYqN9Mf4jqw.ja.vtt |
1.16KB |
| 13. Normalizing Probability-yYqN9Mf4jqw.mp4 |
9.25MB |
| 13. Normalizing Probability-yYqN9Mf4jqw.pt-BR.vtt |
1.35KB |
| 13. Normalizing Probability-yYqN9Mf4jqw.th.vtt |
2.05KB |
| 13. Normalizing Probability-yYqN9Mf4jqw.zh-CN.vtt |
962B |
| 13. One Head 1.html |
8.76KB |
| 13. One Head 1-lHuZpDkfwq8.ar.vtt |
717B |
| 13. One Head 1-lHuZpDkfwq8.en.vtt |
553B |
| 13. One Head 1-lHuZpDkfwq8.es-ES.vtt |
575B |
| 13. One Head 1-lHuZpDkfwq8.hr.vtt |
539B |
| 13. One Head 1-lHuZpDkfwq8.it.vtt |
618B |
| 13. One Head 1-lHuZpDkfwq8.ja.vtt |
584B |
| 13. One Head 1-lHuZpDkfwq8.mp4 |
3.66MB |
| 13. One Head 1-lHuZpDkfwq8.pt-BR.vtt |
642B |
| 13. One Head 1-lHuZpDkfwq8.th.vtt |
970B |
| 13. One Head 1-lHuZpDkfwq8.zh-CN.vtt |
495B |
| 13. One Head 1-T4A5uyqesjo.ar.vtt |
845B |
| 13. One Head 1-T4A5uyqesjo.en.vtt |
617B |
| 13. One Head 1-T4A5uyqesjo.es-ES.vtt |
656B |
| 13. One Head 1-T4A5uyqesjo.hr.vtt |
599B |
| 13. One Head 1-T4A5uyqesjo.it.vtt |
656B |
| 13. One Head 1-T4A5uyqesjo.ja.vtt |
597B |
| 13. One Head 1-T4A5uyqesjo.mp4 |
1.51MB |
| 13. One Head 1-T4A5uyqesjo.pt-BR.vtt |
705B |
| 13. One Head 1-T4A5uyqesjo.th.vtt |
1.08KB |
| 13. One Head 1-T4A5uyqesjo.zh-CN.vtt |
577B |
| 13. Other Language Associated with Confidence Intervals.html |
10.58KB |
| 13. Other Risk Measures.html |
9.97KB |
| 13. Path Dependency.html |
6.18KB |
| 13. Pre-Notebook Negative Sampling.html |
8.39KB |
| 13. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.en.vtt |
2.73KB |
| 13. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.mp4 |
3.56MB |
| 13. Quiz For Loops.html |
16.29KB |
| 13. Quiz Notation.html |
12.03KB |
| 13. Quiz Regression.html |
7.05KB |
| 13. Quiz Types of Errors - Part III.html |
15.05KB |
| 13. Sklearn.html |
6.44KB |
| 13. Sklearn-3zHUAXcoZ7c.ar.vtt |
8.90KB |
| 13. Sklearn-3zHUAXcoZ7c.en.vtt |
6.64KB |
| 13. Sklearn-3zHUAXcoZ7c.mp4 |
23.31MB |
| 13. Sklearn-3zHUAXcoZ7c.pt-BR.vtt |
6.47KB |
| 13. Sklearn-3zHUAXcoZ7c.zh-CN.vtt |
5.59KB |
| 13. Solution Information Gain.html |
7.42KB |
| 13. Solution Lambda Expressions.html |
7.17KB |
| 13. Strings.html |
12.14KB |
| 13. Strings-ySZDrs-nNqg.ar.vtt |
7.20KB |
| 13. Strings-ySZDrs-nNqg.en.vtt |
5.20KB |
| 13. Strings-ySZDrs-nNqg.mp4 |
17.26MB |
| 13. Strings-ySZDrs-nNqg.pt-BR.vtt |
5.59KB |
| 13. Strings-ySZDrs-nNqg.zh-CN.vtt |
4.77KB |
| 13. Summary.html |
5.75KB |
| 13. Testing.html |
9.85KB |
| 13. Training a Network Solution.html |
7.31KB |
| 13. Training Memory.html |
8.55KB |
| 13. Two Coins 3.html |
8.54KB |
| 13. Two Coins 3-GO6kbL3QRBE.ar.vtt |
1.45KB |
| 13. Two Coins 3-GO6kbL3QRBE.en.vtt |
1.03KB |
| 13. Two Coins 3-GO6kbL3QRBE.es-ES.vtt |
1.11KB |
| 13. Two Coins 3-GO6kbL3QRBE.it.vtt |
1.12KB |
| 13. Two Coins 3-GO6kbL3QRBE.ja.vtt |
841B |
| 13. Two Coins 3-GO6kbL3QRBE.mp4 |
5.36MB |
| 13. Two Coins 3-GO6kbL3QRBE.pt-BR.vtt |
1002B |
| 13. Two Coins 3-GO6kbL3QRBE.th.vtt |
1.84KB |
| 13. Two Coins 3-GO6kbL3QRBE.zh-CN.vtt |
1004B |
| 13. Two Coins 3-JIWv5fU3GLA.ar.vtt |
2.47KB |
| 13. Two Coins 3-JIWv5fU3GLA.en.vtt |
2.02KB |
| 13. Two Coins 3-JIWv5fU3GLA.es-ES.vtt |
2.10KB |
| 13. Two Coins 3-JIWv5fU3GLA.it.vtt |
2.11KB |
| 13. Two Coins 3-JIWv5fU3GLA.ja.vtt |
1.85KB |
| 13. Two Coins 3-JIWv5fU3GLA.mp4 |
12.85MB |
| 13. Two Coins 3-JIWv5fU3GLA.pt-BR.vtt |
1.83KB |
| 13. Two Coins 3-JIWv5fU3GLA.th.vtt |
3.52KB |
| 13. Two Coins 3-JIWv5fU3GLA.zh-CN.vtt |
1.79KB |
| 13. Variance of 2 stocks part 2.html |
7.22KB |
| 13. Vectors Quiz Answers.html |
7.13KB |
| 13. Video Measures of Center (Mean).html |
9.80KB |
| 13. Winners and Losers in Momentum Exercise.html |
8.72KB |
| 13. Zipline Coding Exercises.html |
6.37KB |
| 13. Z score.html |
10.83KB |
| 14. [Optional] Iterators and Generators.html |
9.12KB |
| 14. Absolute Error vs Squared Error.html |
10.56KB |
| 14. Absolute Vs Squared Error-csvdjaqt1GM.en.vtt |
831B |
| 14. Absolute Vs Squared Error-csvdjaqt1GM.mp4 |
660.25KB |
| 14. Absolute Vs Squared Error-csvdjaqt1GM.pt-BR.vtt |
793B |
| 14. Analyzing Multiple Metrics.html |
6.94KB |
| 14. Analyzing Multiple Metrics-DtZghKNa7Ak.en.vtt |
572B |
| 14. Analyzing Multiple Metrics-DtZghKNa7Ak.mp4 |
2.25MB |
| 14. Analyzing Multiple Metrics-DtZghKNa7Ak.pt-BR.vtt |
780B |
| 14. Analyzing Multiple Metrics-DtZghKNa7Ak.zh-CN.vtt |
499B |
| 14. Binomial 5.html |
7.83KB |
| 14. Binomial 5-8jcCGD986jk.ar.vtt |
396B |
| 14. Binomial 5-8jcCGD986jk.en.vtt |
342B |
| 14. Binomial 5-8jcCGD986jk.es-ES.vtt |
355B |
| 14. Binomial 5-8jcCGD986jk.ja.vtt |
371B |
| 14. Binomial 5-8jcCGD986jk.mp4 |
2.51MB |
| 14. Binomial 5-8jcCGD986jk.pt-BR.vtt |
473B |
| 14. Binomial 5-8jcCGD986jk.zh-CN.vtt |
296B |
| 14. Binomial 5-yof0QiP2mzk.ar.vtt |
303B |
| 14. Binomial 5-yof0QiP2mzk.en.vtt |
219B |
| 14. Binomial 5-yof0QiP2mzk.es-ES.vtt |
219B |
| 14. Binomial 5-yof0QiP2mzk.ja.vtt |
212B |
| 14. Binomial 5-yof0QiP2mzk.mp4 |
1.01MB |
| 14. Binomial 5-yof0QiP2mzk.pt-BR.vtt |
254B |
| 14. Binomial 5-yof0QiP2mzk.zh-CN.vtt |
212B |
| 14. Central Limit Theorem.html |
10.21KB |
| 14. Central Limit Theorem-36KLIHioAvA.ar.vtt |
982B |
| 14. Central Limit Theorem-36KLIHioAvA.en.vtt |
682B |
| 14. Central Limit Theorem-36KLIHioAvA.es-ES.vtt |
775B |
| 14. Central Limit Theorem-36KLIHioAvA.ja.vtt |
661B |
| 14. Central Limit Theorem-36KLIHioAvA.mp4 |
3.67MB |
| 14. Central Limit Theorem-36KLIHioAvA.pl.vtt |
715B |
| 14. Central Limit Theorem-36KLIHioAvA.pt-BR.vtt |
684B |
| 14. Central Limit Theorem-36KLIHioAvA.pt-PT.vtt |
765B |
| 14. Central Limit Theorem-36KLIHioAvA.zh-CN.vtt |
582B |
| 14. Central Limit Theorem-9I8ysrRlmbA.ar.vtt |
1.34KB |
| 14. Central Limit Theorem-9I8ysrRlmbA.en.vtt |
1.04KB |
| 14. Central Limit Theorem-9I8ysrRlmbA.es-MX.vtt |
1.16KB |
| 14. Central Limit Theorem-9I8ysrRlmbA.ja.vtt |
957B |
| 14. Central Limit Theorem-9I8ysrRlmbA.mp4 |
5.02MB |
| 14. Central Limit Theorem-9I8ysrRlmbA.pt-BR.vtt |
1.05KB |
| 14. Central Limit Theorem-9I8ysrRlmbA.zh-CN.vtt |
913B |
| 14. Character-Wise RNN-dXl3eWCGLdU.en.vtt |
3.33KB |
| 14. Character-Wise RNN-dXl3eWCGLdU.mp4 |
2.88MB |
| 14. Character-Wise RNN-dXl3eWCGLdU.pt-BR.vtt |
3.66KB |
| 14. Character-Wise RNN-dXl3eWCGLdU.zh-CN.vtt |
3.04KB |
| 14. Character-wise RNNs.html |
6.69KB |
| 14. Classifying Fashion-MNIST.html |
8.05KB |
| 14. Common Types of Hypothesis Tests.html |
10.85KB |
| 14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.en.vtt |
2.57KB |
| 14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.mp4 |
10.80MB |
| 14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.pt-BR.vtt |
2.45KB |
| 14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.zh-CN.vtt |
2.18KB |
| 14. Conclusion.html |
5.98KB |
| 14. Conclusion-XiR_37bYA84.ar.vtt |
894B |
| 14. Conclusion-XiR_37bYA84.en.vtt |
675B |
| 14. Conclusion-XiR_37bYA84.mp4 |
1.96MB |
| 14. Conclusion-XiR_37bYA84.pt-BR.vtt |
692B |
| 14. Conclusion-XiR_37bYA84.zh-CN.vtt |
616B |
| 14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.en.vtt |
1.58KB |
| 14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.mp4 |
3.36MB |
| 14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.pt-BR.vtt |
1.56KB |
| 14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.zh-CN.vtt |
1.37KB |
| 14. Covariance Matrix of Assets Exercise.html |
7.20KB |
| 14. Cross Section Specific Variance.html |
6.77KB |
| 14. Disease Test 1.html |
10.85KB |
| 14. Disease Test 1-05upwXtARuo.ar.vtt |
829B |
| 14. Disease Test 1-05upwXtARuo.en.vtt |
633B |
| 14. Disease Test 1-05upwXtARuo.es-ES.vtt |
679B |
| 14. Disease Test 1-05upwXtARuo.ja.vtt |
621B |
| 14. Disease Test 1-05upwXtARuo.mp4 |
2.81MB |
| 14. Disease Test 1-05upwXtARuo.pt-BR.vtt |
680B |
| 14. Disease Test 1-05upwXtARuo.th.vtt |
1.16KB |
| 14. Disease Test 1-05upwXtARuo.zh-CN.vtt |
572B |
| 14. Disease Test 1-qDGSvvabN18.ar.vtt |
963B |
| 14. Disease Test 1-qDGSvvabN18.en.vtt |
734B |
| 14. Disease Test 1-qDGSvvabN18.es-ES.vtt |
682B |
| 14. Disease Test 1-qDGSvvabN18.ja.vtt |
730B |
| 14. Disease Test 1-qDGSvvabN18.mp4 |
3.62MB |
| 14. Disease Test 1-qDGSvvabN18.pt-BR.vtt |
753B |
| 14. Disease Test 1-qDGSvvabN18.th.vtt |
1.19KB |
| 14. Disease Test 1-qDGSvvabN18.zh-CN.vtt |
708B |
| 14. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.en.vtt |
983B |
| 14. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.mp4 |
692.80KB |
| 14. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.pt-BR.vtt |
956B |
| 14. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.en.vtt |
1.00KB |
| 14. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.mp4 |
873.14KB |
| 14. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.pt-BR.vtt |
970B |
| 14. Error Functions-jfKShxGAbok.en.vtt |
9.45KB |
| 14. Error Functions-jfKShxGAbok.en.vtt |
9.45KB |
| 14. Error Functions-jfKShxGAbok.mp4 |
7.21MB |
| 14. Error Functions-jfKShxGAbok.mp4 |
7.21MB |
| 14. Error Functions-jfKShxGAbok.pt-BR.vtt |
9.14KB |
| 14. Error Functions-jfKShxGAbok.pt-BR.vtt |
9.14KB |
| 14. Error Functions-jfKShxGAbok.zh-CN.vtt |
8.35KB |
| 14. Error Functions-jfKShxGAbok.zh-CN.vtt |
8.35KB |
| 14. Funds.html |
7.08KB |
| 14. Inference, Solution.html |
12.59KB |
| 14. Interlude Global Talent.html |
6.03KB |
| 14. Interlude Your Goals.html |
5.84KB |
| 14. Iterators And Generators-tYH8X4Zeh-0.ar.vtt |
3.42KB |
| 14. Iterators And Generators-tYH8X4Zeh-0.en.vtt |
2.67KB |
| 14. Iterators And Generators-tYH8X4Zeh-0.mp4 |
18.95MB |
| 14. Iterators And Generators-tYH8X4Zeh-0.pt-BR.vtt |
2.97KB |
| 14. Iterators And Generators-tYH8X4Zeh-0.zh-CN.vtt |
2.42KB |
| 14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.en.vtt |
2.40KB |
| 14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.mp4 |
2.14MB |
| 14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.zh-CN.vtt |
2.12KB |
| 14. L1 16 Funds V2-s9f2Bzc9lnk.en.vtt |
1.74KB |
| 14. L1 16 Funds V2-s9f2Bzc9lnk.mp4 |
5.06MB |
| 14. Learning Rate Decay.html |
6.15KB |
| 14. Learning Rate-TwJ8aSZoh2U.en.vtt |
1.12KB |
| 14. Learning Rate-TwJ8aSZoh2U.mp4 |
927.05KB |
| 14. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt |
1.26KB |
| 14. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt |
1020B |
| 14. Log-loss Error Function.html |
10.06KB |
| 14. Log-loss Error Function.html |
10.06KB |
| 14. M2L3 12 Multivariate Linear Regression V3-WbCGVF7SAN0.en.vtt |
1.51KB |
| 14. M2L3 12 Multivariate Linear Regression V3-WbCGVF7SAN0.mp4 |
1.39MB |
| 14. M2L5 15 Outro V1-FMXL37CkTgg.en.vtt |
531B |
| 14. M2L5 15 Outro V1-FMXL37CkTgg.mp4 |
1.60MB |
| 14. M2L6 20 Summary V2-wuzha8SU2jw.en.vtt |
1.34KB |
| 14. M2L6 20 Summary V2-wuzha8SU2jw.mp4 |
4.25MB |
| 14. M4 L1B 14 PriceVolume Factors V2-zaG0PDc3wsA.en.vtt |
6.04KB |
| 14. M4 L1B 14 PriceVolume Factors V2-zaG0PDc3wsA.mp4 |
11.54MB |
| 14. M4 L2A 25 Specific Variance V2-JwA9g3NBglE.en.vtt |
2.18KB |
| 14. M4 L2A 25 Specific Variance V2-JwA9g3NBglE.mp4 |
2.14MB |
| 14. M4 L3b 10 Skewness And Momentum Attentional Bias V3-3ZkFRBUmSQ0.en.vtt |
4.83KB |
| 14. M4 L3b 10 Skewness And Momentum Attentional Bias V3-3ZkFRBUmSQ0.mp4 |
10.75MB |
| 14. M4 L4 19 What Is Optimization Doing To OUr Alphas V3-6Yqb91Xahvg.en.vtt |
3.70KB |
| 14. M4 L4 19 What Is Optimization Doing To OUr Alphas V3-6Yqb91Xahvg.mp4 |
8.22MB |
| 14. M5 SC 9 Substitutions And Flags V1-9pxTGOlkLEY.mp4 |
17.51MB |
| 14. Maximizing Information Gain.html |
6.70KB |
| 14. Maximizing Information Gain-3FgJOpKfdY8.en.vtt |
4.00KB |
| 14. Maximizing Information Gain-3FgJOpKfdY8.mp4 |
13.14MB |
| 14. Maximizing Information Gain-3FgJOpKfdY8.pt-BR.vtt |
3.34KB |
| 14. Maximizing Information Gain-3FgJOpKfdY8.zh-CN.vtt |
3.69KB |
| 14. Measures of Center (Mean).html |
10.69KB |
| 14. Mini-Project Mean Normalization and Data Separation.html |
6.80KB |
| 14. Mini-Project Statistics From Stock Data.html |
6.68KB |
| 14. Multivariate Linear Regression.html |
6.33KB |
| 14. MV 06 Our Goal Is To Help You Meet Your Goals V1--pSppDzJRu8.en.vtt |
1.45KB |
| 14. MV 06 Our Goal Is To Help You Meet Your Goals V1--pSppDzJRu8.mp4 |
4.08MB |
| 14. MV 13 Global Talent Is Equally Distributed V1-QwDJbbBl_48.en.vtt |
1.30KB |
| 14. MV 13 Global Talent Is Equally Distributed V1-QwDJbbBl_48.mp4 |
3.84MB |
| 14. Notebook Negative Sampling.html |
6.78KB |
| 14. One Head 2.html |
9.65KB |
| 14. One Head 2-64EjAbqrtmo.ar.vtt |
640B |
| 14. One Head 2-64EjAbqrtmo.en.vtt |
508B |
| 14. One Head 2-64EjAbqrtmo.es-ES.vtt |
480B |
| 14. One Head 2-64EjAbqrtmo.hr.vtt |
453B |
| 14. One Head 2-64EjAbqrtmo.it.vtt |
504B |
| 14. One Head 2-64EjAbqrtmo.ja.vtt |
417B |
| 14. One Head 2-64EjAbqrtmo.mp4 |
1.04MB |
| 14. One Head 2-64EjAbqrtmo.pt-BR.vtt |
547B |
| 14. One Head 2-64EjAbqrtmo.th.vtt |
1015B |
| 14. One Head 2-64EjAbqrtmo.zh-CN.vtt |
422B |
| 14. One Head 2-JHx3ucNS9f4.ar.vtt |
445B |
| 14. One Head 2-JHx3ucNS9f4.en.vtt |
342B |
| 14. One Head 2-JHx3ucNS9f4.es-ES.vtt |
393B |
| 14. One Head 2-JHx3ucNS9f4.hr.vtt |
312B |
| 14. One Head 2-JHx3ucNS9f4.it.vtt |
375B |
| 14. One Head 2-JHx3ucNS9f4.ja.vtt |
357B |
| 14. One Head 2-JHx3ucNS9f4.mp4 |
2.26MB |
| 14. One Head 2-JHx3ucNS9f4.pt-BR.vtt |
354B |
| 14. One Head 2-JHx3ucNS9f4.th.vtt |
677B |
| 14. One Head 2-JHx3ucNS9f4.zh-CN.vtt |
323B |
| 14. Other Sampling Distributions-Bxl0DonzX8c.ar.vtt |
1.37KB |
| 14. Other Sampling Distributions-Bxl0DonzX8c.en.vtt |
1.04KB |
| 14. Other Sampling Distributions-Bxl0DonzX8c.mp4 |
4.18MB |
| 14. Other Sampling Distributions-Bxl0DonzX8c.pt-BR.vtt |
1.28KB |
| 14. Other Sampling Distributions-Bxl0DonzX8c.zh-CN.vtt |
964B |
| 14. PCA Toy Problem.html |
7.29KB |
| 14. PCA Toy Problem SC V1-uyl44T12yU8.en.vtt |
9.88KB |
| 14. PCA Toy Problem SC V1-uyl44T12yU8.mp4 |
15.15MB |
| 14. Practice Handling Input Errors.html |
10.01KB |
| 14. Price-Volume Factors.html |
7.59KB |
| 14. Project.html |
6.67KB |
| 14. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt |
2.26KB |
| 14. PyTorch - Part 4-AEJV_RKZ7VU.mp4 |
3.32MB |
| 14. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt |
2.19KB |
| 14. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt |
1.91KB |
| 14. Quiz Applied Standard Deviation and Variance.html |
14.47KB |
| 14. Quiz Parameter Update.html |
9.28KB |
| 14. Quiz Strings.html |
15.63KB |
| 14. Skewness and Momentum Attentional Bias.html |
10.19KB |
| 14. Solution For Loops Quiz.html |
10.27KB |
| 14. Some challenges of k-means.html |
6.59KB |
| 14. Some challenges of k-means-e2CdlG5P4WA.ar.vtt |
882B |
| 14. Some challenges of k-means-e2CdlG5P4WA.en.vtt |
601B |
| 14. Some challenges of k-means-e2CdlG5P4WA.mp4 |
2.82MB |
| 14. Some challenges of k-means-e2CdlG5P4WA.pt-BR.vtt |
540B |
| 14. Some challenges of k-means-e2CdlG5P4WA.zh-CN.vtt |
530B |
| 14. Substitutions and Flags.html |
7.89KB |
| 14. Summary.html |
5.79KB |
| 14. Summary.html |
5.80KB |
| 14. The Capital Assets Pricing Model.html |
11.66KB |
| 14. Two Coins 4.html |
8.57KB |
| 14. Two Coins 4-9R44IyZ-aQI.ar.vtt |
1.69KB |
| 14. Two Coins 4-9R44IyZ-aQI.en.vtt |
1.35KB |
| 14. Two Coins 4-9R44IyZ-aQI.es-ES.vtt |
1.34KB |
| 14. Two Coins 4-9R44IyZ-aQI.it.vtt |
1.38KB |
| 14. Two Coins 4-9R44IyZ-aQI.ja.vtt |
1.10KB |
| 14. Two Coins 4-9R44IyZ-aQI.mp4 |
8.19MB |
| 14. Two Coins 4-9R44IyZ-aQI.pt-BR.vtt |
1.17KB |
| 14. Two Coins 4-9R44IyZ-aQI.th.vtt |
2.20KB |
| 14. Two Coins 4-9R44IyZ-aQI.zh-CN.vtt |
1.27KB |
| 14. Two Coins 4-cDub-OOrIRE.ar.vtt |
1.01KB |
| 14. Two Coins 4-cDub-OOrIRE.en.vtt |
789B |
| 14. Two Coins 4-cDub-OOrIRE.es-ES.vtt |
845B |
| 14. Two Coins 4-cDub-OOrIRE.it.vtt |
837B |
| 14. Two Coins 4-cDub-OOrIRE.ja.vtt |
805B |
| 14. Two Coins 4-cDub-OOrIRE.mp4 |
4.81MB |
| 14. Two Coins 4-cDub-OOrIRE.pt-BR.vtt |
761B |
| 14. Two Coins 4-cDub-OOrIRE.th.vtt |
1.37KB |
| 14. Two Coins 4-cDub-OOrIRE.zh-CN.vtt |
752B |
| 14. Video Correct Interpretations of Confidence Intervals.html |
8.13KB |
| 14. Video Other Sampling Distributions.html |
8.71KB |
| 14. What Is Optimization Doing to Our Alphas.html |
6.29KB |
| 14. z-score quiz.html |
11.46KB |
| 15. [Optional] Quiz Iterators and Generators.html |
9.49KB |
| 15. 11 SkipGram Negative V1-e7ZrzpyXNDs.en.vtt |
3.87KB |
| 15. 11 SkipGram Negative V1-e7ZrzpyXNDs.mp4 |
4.67MB |
| 15. 11 SkipGram Negative V1-e7ZrzpyXNDs.pt-BR.vtt |
3.75KB |
| 15. Active vs. Passive.html |
8.20KB |
| 15. Answer Parameter Update.html |
7.74KB |
| 15. Applying Regexs to 10-Ks.html |
7.66KB |
| 15. Binomial 6.html |
7.83KB |
| 15. Binomial 6-CQHRYIU6v9Q.ar.vtt |
473B |
| 15. Binomial 6-CQHRYIU6v9Q.en.vtt |
340B |
| 15. Binomial 6-CQHRYIU6v9Q.es-ES.vtt |
327B |
| 15. Binomial 6-CQHRYIU6v9Q.ja.vtt |
298B |
| 15. Binomial 6-CQHRYIU6v9Q.mp4 |
1.73MB |
| 15. Binomial 6-CQHRYIU6v9Q.pt-BR.vtt |
401B |
| 15. Binomial 6-CQHRYIU6v9Q.zh-CN.vtt |
307B |
| 15. Binomial 6-n_OrWrZ8tKY.ar.vtt |
706B |
| 15. Binomial 6-n_OrWrZ8tKY.en.vtt |
540B |
| 15. Binomial 6-n_OrWrZ8tKY.es-ES.vtt |
538B |
| 15. Binomial 6-n_OrWrZ8tKY.ja.vtt |
531B |
| 15. Binomial 6-n_OrWrZ8tKY.mp4 |
4.45MB |
| 15. Binomial 6-n_OrWrZ8tKY.pt-BR.vtt |
691B |
| 15. Binomial 6-n_OrWrZ8tKY.zh-CN.vtt |
460B |
| 15. Correct Interpretations of Confidence Intervals.html |
9.29KB |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt |
5.70KB |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt |
5.70KB |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4 |
5.35MB |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4 |
5.35MB |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt |
5.67KB |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt |
5.67KB |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt |
4.67KB |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt |
4.67KB |
| 15. Discrete vs Continuous.html |
10.68KB |
| 15. Discrete vs Continuous.html |
10.68KB |
| 15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt |
551B |
| 15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt |
551B |
| 15. Discrete vs Continuous-rdP-RPDFkl0.mp4 |
2.26MB |
| 15. Discrete vs Continuous-rdP-RPDFkl0.mp4 |
2.26MB |
| 15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt |
584B |
| 15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt |
584B |
| 15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt |
481B |
| 15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt |
481B |
| 15. Disease Test 2.html |
10.25KB |
| 15. Disease Test 2-FQM7i07EqGo.ar.vtt |
325B |
| 15. Disease Test 2-FQM7i07EqGo.en.vtt |
268B |
| 15. Disease Test 2-FQM7i07EqGo.es-ES.vtt |
272B |
| 15. Disease Test 2-FQM7i07EqGo.ja.vtt |
296B |
| 15. Disease Test 2-FQM7i07EqGo.mp4 |
1.49MB |
| 15. Disease Test 2-FQM7i07EqGo.pt-BR.vtt |
262B |
| 15. Disease Test 2-FQM7i07EqGo.th.vtt |
398B |
| 15. Disease Test 2-FQM7i07EqGo.zh-CN.vtt |
241B |
| 15. Disease Test 2-GsneDVJB75E.ar.vtt |
158B |
| 15. Disease Test 2-GsneDVJB75E.en.vtt |
142B |
| 15. Disease Test 2-GsneDVJB75E.es-ES.vtt |
155B |
| 15. Disease Test 2-GsneDVJB75E.ja.vtt |
184B |
| 15. Disease Test 2-GsneDVJB75E.mp4 |
747.61KB |
| 15. Disease Test 2-GsneDVJB75E.pt-BR.vtt |
149B |
| 15. Disease Test 2-GsneDVJB75E.th.vtt |
178B |
| 15. Disease Test 2-GsneDVJB75E.zh-CN.vtt |
149B |
| 15. Fashion-MNIST Solution.html |
7.29KB |
| 15. Fundamental Factors.html |
6.50KB |
| 15. Homework 1 Final Quiz on Measures Spread.html |
13.78KB |
| 15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.en.vtt |
680B |
| 15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.mp4 |
574.57KB |
| 15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.zh-CN.vtt |
517B |
| 15. L1 17 Active Vs Passive V2-QzoHmUzJ5zw.en.vtt |
1.33KB |
| 15. L1 17 Active Vs Passive V2-QzoHmUzJ5zw.mp4 |
3.86MB |
| 15. L1 18 Alpha And Beta V3-CcVdfrr5nD8.en.vtt |
1.76KB |
| 15. L1 18 Alpha And Beta V3-CcVdfrr5nD8.mp4 |
4.93MB |
| 15. Limitations of K-Means.html |
8.00KB |
| 15. Limitations of K-Means-4Fkfu37el_k.ar.vtt |
1.31KB |
| 15. Limitations of K-Means-4Fkfu37el_k.en.vtt |
855B |
| 15. Limitations of K-Means-4Fkfu37el_k.mp4 |
4.67MB |
| 15. Limitations of K-Means-4Fkfu37el_k.pt-BR.vtt |
856B |
| 15. Limitations of K-Means-4Fkfu37el_k.zh-CN.vtt |
812B |
| 15. Limitations of K-Means-nvLhUSSUhiY.ar.vtt |
385B |
| 15. Limitations of K-Means-nvLhUSSUhiY.en.vtt |
315B |
| 15. Limitations of K-Means-nvLhUSSUhiY.mp4 |
991.73KB |
| 15. Limitations of K-Means-nvLhUSSUhiY.pt-BR.vtt |
306B |
| 15. Limitations of K-Means-nvLhUSSUhiY.zh-CN.vtt |
277B |
| 15. Linear Regression in scikit-learn.html |
16.63KB |
| 15. M2L3 14 Regression In Trading V2-bcOGRWxg7qQ.en.vtt |
1.78KB |
| 15. M2L3 14 Regression In Trading V2-bcOGRWxg7qQ.mp4 |
5.86MB |
| 15. M4 L1B 15 Volume Factors V1-1dTAV3Irxv4.en.vtt |
4.55KB |
| 15. M4 L1B 15 Volume Factors V1-1dTAV3Irxv4.mp4 |
12.63MB |
| 15. M4 L2A 10 Portfolio Variance Using Factor Model V4-V06aCZUvgbo.mp4 |
6.01MB |
| 15. M4 L2A 26 Fundamental Factors V2-fndhL2Tolac.en.vtt |
3.87KB |
| 15. M4 L2A 26 Fundamental Factors V2-fndhL2Tolac.mp4 |
3.45MB |
| 15. M4 L3b 11 Skewness And Momentum Defining Skew V2-6PgqIpmJBJ8.en.vtt |
3.38KB |
| 15. M4 L3b 11 Skewness And Momentum Defining Skew V2-6PgqIpmJBJ8.mp4 |
6.40MB |
| 15. M4 L4 20 Outro V1-c3J8t6q2BGo.en.vtt |
1.62KB |
| 15. M4 L4 20 Outro V1-c3J8t6q2BGo.mp4 |
5.45MB |
| 15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.en.vtt |
2.65KB |
| 15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.mp4 |
9.20MB |
| 15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.pt-BR.vtt |
2.50KB |
| 15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.zh-CN.vtt |
2.50KB |
| 15. Momentum.html |
6.10KB |
| 15. Momentum-r-rYz_PEWC8.en.vtt |
2.50KB |
| 15. Momentum-r-rYz_PEWC8.mp4 |
2.14MB |
| 15. Momentum-r-rYz_PEWC8.pt-BR.vtt |
2.70KB |
| 15. Momentum-r-rYz_PEWC8.zh-CN.vtt |
2.21KB |
| 15. One Of Three 1.html |
8.85KB |
| 15. One Of Three 1-bDCXSxkochE.ar.vtt |
1.50KB |
| 15. One Of Three 1-bDCXSxkochE.en.vtt |
1.15KB |
| 15. One Of Three 1-bDCXSxkochE.es-ES.vtt |
1.17KB |
| 15. One Of Three 1-bDCXSxkochE.hr.vtt |
1.12KB |
| 15. One Of Three 1-bDCXSxkochE.it.vtt |
1.17KB |
| 15. One Of Three 1-bDCXSxkochE.ja.vtt |
1.13KB |
| 15. One Of Three 1-bDCXSxkochE.mp4 |
9.02MB |
| 15. One Of Three 1-bDCXSxkochE.pt-BR.vtt |
1.35KB |
| 15. One Of Three 1-bDCXSxkochE.th.vtt |
2.73KB |
| 15. One Of Three 1-bDCXSxkochE.zh-CN.vtt |
964B |
| 15. One Of Three 1-rxfHfjy9Mm4.ar.vtt |
411B |
| 15. One Of Three 1-rxfHfjy9Mm4.en.vtt |
307B |
| 15. One Of Three 1-rxfHfjy9Mm4.es-ES.vtt |
318B |
| 15. One Of Three 1-rxfHfjy9Mm4.hr.vtt |
305B |
| 15. One Of Three 1-rxfHfjy9Mm4.it.vtt |
315B |
| 15. One Of Three 1-rxfHfjy9Mm4.ja.vtt |
301B |
| 15. One Of Three 1-rxfHfjy9Mm4.mp4 |
2.08MB |
| 15. One Of Three 1-rxfHfjy9Mm4.pt-BR.vtt |
335B |
| 15. One Of Three 1-rxfHfjy9Mm4.th.vtt |
772B |
| 15. One Of Three 1-rxfHfjy9Mm4.zh-CN.vtt |
280B |
| 15. Outro.html |
6.12KB |
| 15. PCA Coding Exercise.html |
6.98KB |
| 15. Portfolio Variance using Factor Model.html |
8.95KB |
| 15. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.en.vtt |
6.14KB |
| 15. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.mp4 |
8.24MB |
| 15. Quiz Analyzing Multiple Metrics.html |
9.31KB |
| 15. Quiz Match Inputs To Outputs.html |
12.99KB |
| 15. Quiz More Hypothesis Testing Practice.html |
15.61KB |
| 15. Quiz Portfolio Return with a 3-Asset Portfolio.html |
7.73KB |
| 15. Random Forests.html |
6.72KB |
| 15. Regression in Trading.html |
6.28KB |
| 15. Sequence Batching.html |
6.68KB |
| 15. Sequence-Batching-Z4OiyU0Cldg.en.vtt |
2.09KB |
| 15. Sequence-Batching-Z4OiyU0Cldg.mp4 |
2.29MB |
| 15. Sequence-Batching-Z4OiyU0Cldg.pt-BR.vtt |
2.33KB |
| 15. Sequence-Batching-Z4OiyU0Cldg.zh-CN.vtt |
1.92KB |
| 15. Skewness and Momentum Defining Skew.html |
8.16KB |
| 15. SkipGramNeg, Model Definition.html |
6.27KB |
| 15. Solution Handling Input Errors.html |
7.99KB |
| 15. Solution Strings.html |
9.58KB |
| 15. Spam Classifier - Workspace.html |
6.59KB |
| 15. Summary.html |
6.56KB |
| 15. Summary.html |
6.14KB |
| 15. Summary-VP-PMcgqhc8.ar.vtt |
2.04KB |
| 15. Summary-VP-PMcgqhc8.en.vtt |
1.42KB |
| 15. Summary-VP-PMcgqhc8.es-ES.vtt |
1.41KB |
| 15. Summary-VP-PMcgqhc8.ja.vtt |
1.27KB |
| 15. Summary-VP-PMcgqhc8.mp4 |
6.71MB |
| 15. Summary-VP-PMcgqhc8.pt-BR.vtt |
1.57KB |
| 15. Summary-VP-PMcgqhc8.zh-CN.vtt |
1.13KB |
| 15. Summary-yepMH9VswI8.ar.vtt |
3.47KB |
| 15. Summary-yepMH9VswI8.en.vtt |
2.66KB |
| 15. Summary-yepMH9VswI8.es-ES.vtt |
2.84KB |
| 15. Summary-yepMH9VswI8.it.vtt |
2.87KB |
| 15. Summary-yepMH9VswI8.ja.vtt |
2.36KB |
| 15. Summary-yepMH9VswI8.mp4 |
15.78MB |
| 15. Summary-yepMH9VswI8.pt-BR.vtt |
2.44KB |
| 15. Summary-yepMH9VswI8.th.vtt |
4.60KB |
| 15. Summary-yepMH9VswI8.zh-CN.vtt |
2.43KB |
| 15. The Median-WlT3eeW0rb0.ar.vtt |
3.19KB |
| 15. The Median-WlT3eeW0rb0.en.vtt |
2.48KB |
| 15. The Median-WlT3eeW0rb0.mp4 |
3.81MB |
| 15. The Median-WlT3eeW0rb0.pt-BR.vtt |
2.63KB |
| 15. The Median-WlT3eeW0rb0.zh-CN.vtt |
1.98KB |
| 15. Two Useful Theorems-jQ5i7CALdRQ.ar.vtt |
1.75KB |
| 15. Two Useful Theorems-jQ5i7CALdRQ.en.vtt |
1.40KB |
| 15. Two Useful Theorems-jQ5i7CALdRQ.mp4 |
4.16MB |
| 15. Two Useful Theorems-jQ5i7CALdRQ.pt-BR.vtt |
1.45KB |
| 15. Two Useful Theorems-jQ5i7CALdRQ.zh-CN.vtt |
1.18KB |
| 15. Video Measures of Center (Median).html |
9.60KB |
| 15. Video Two Useful Theorems - Law of Large Numbers.html |
10.12KB |
| 15. Volume Factors.html |
7.32KB |
| 15. z-score exercise.html |
11.49KB |
| 16. [Optional] Solution Iterators and Generators.html |
7.73KB |
| 16. 12 CompleteModel CustomLoss V2-7SqNN_eUAdc.en.vtt |
10.34KB |
| 16. 12 CompleteModel CustomLoss V2-7SqNN_eUAdc.mp4 |
14.35MB |
| 16. 12 CompleteModel CustomLoss V2-7SqNN_eUAdc.pt-BR.vtt |
10.41KB |
| 16. Accessing Error Messages.html |
8.51KB |
| 16. AIT M5L4B 06 Introduction To Beautifulsoup V3-k8e-kB3qBng.mp4 |
12.67MB |
| 16. Binomial Conclusion.html |
6.29KB |
| 16. Binomial Distribution Conclusion-9gjCYs8f_PU.ar.vtt |
3.89KB |
| 16. Binomial Distribution Conclusion-9gjCYs8f_PU.en.vtt |
2.92KB |
| 16. Binomial Distribution Conclusion-9gjCYs8f_PU.mp4 |
10.23MB |
| 16. Binomial Distribution Conclusion-9gjCYs8f_PU.pt-BR.vtt |
3.26KB |
| 16. Binomial Distribution Conclusion-9gjCYs8f_PU.zh-CN.vtt |
2.46KB |
| 16. Building Dictionaries.html |
13.57KB |
| 16. Complete Model Custom Loss.html |
6.54KB |
| 16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.en.vtt |
906B |
| 16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.mp4 |
3.70MB |
| 16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.pt-BR.vtt |
962B |
| 16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.zh-CN.vtt |
742B |
| 16. Counterintuitive Clusters.html |
8.04KB |
| 16. Counterintuitive Clusters-aveIz1JYeAg.ar.vtt |
1.35KB |
| 16. Counterintuitive Clusters-aveIz1JYeAg.en.vtt |
991B |
| 16. Counterintuitive Clusters-aveIz1JYeAg.mp4 |
4.11MB |
| 16. Counterintuitive Clusters-aveIz1JYeAg.pt-BR.vtt |
1.02KB |
| 16. Counterintuitive Clusters-aveIz1JYeAg.zh-CN.vtt |
924B |
| 16. Counterintuitive Clusters-StmEUgT1XSY.ar.vtt |
2.93KB |
| 16. Counterintuitive Clusters-StmEUgT1XSY.en.vtt |
2.17KB |
| 16. Counterintuitive Clusters-StmEUgT1XSY.mp4 |
8.13MB |
| 16. Counterintuitive Clusters-StmEUgT1XSY.pt-BR.vtt |
2.19KB |
| 16. Counterintuitive Clusters-StmEUgT1XSY.zh-CN.vtt |
1.90KB |
| 16. Disease Test 3.html |
10.24KB |
| 16. Disease Test 3-a61GPGk-Qy4.ar.vtt |
222B |
| 16. Disease Test 3-a61GPGk-Qy4.en.vtt |
214B |
| 16. Disease Test 3-a61GPGk-Qy4.es-ES.vtt |
217B |
| 16. Disease Test 3-a61GPGk-Qy4.ja.vtt |
300B |
| 16. Disease Test 3-a61GPGk-Qy4.mp4 |
1.61MB |
| 16. Disease Test 3-a61GPGk-Qy4.pt-BR.vtt |
212B |
| 16. Disease Test 3-a61GPGk-Qy4.th.vtt |
299B |
| 16. Disease Test 3-a61GPGk-Qy4.zh-CN.vtt |
218B |
| 16. Disease Test 3-PfEYA6z-19w.ar.vtt |
129B |
| 16. Disease Test 3-PfEYA6z-19w.en.vtt |
104B |
| 16. Disease Test 3-PfEYA6z-19w.es-ES.vtt |
107B |
| 16. Disease Test 3-PfEYA6z-19w.ja.vtt |
122B |
| 16. Disease Test 3-PfEYA6z-19w.mp4 |
423.73KB |
| 16. Disease Test 3-PfEYA6z-19w.pt-BR.vtt |
99B |
| 16. Disease Test 3-PfEYA6z-19w.th.vtt |
130B |
| 16. Disease Test 3-PfEYA6z-19w.zh-CN.vtt |
113B |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt |
5.37KB |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt |
5.37KB |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4 |
4.01MB |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4 |
4.01MB |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt |
5.06KB |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt |
5.06KB |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt |
4.37KB |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt |
4.37KB |
| 16. DL 18 S Softmax-n8S-v_LCTms.en.vtt |
2.59KB |
| 16. DL 18 S Softmax-n8S-v_LCTms.en.vtt |
2.59KB |
| 16. DL 18 S Softmax-n8S-v_LCTms.mp4 |
1.95MB |
| 16. DL 18 S Softmax-n8S-v_LCTms.mp4 |
1.95MB |
| 16. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt |
2.52KB |
| 16. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt |
2.52KB |
| 16. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt |
2.30KB |
| 16. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt |
2.30KB |
| 16. Drawing Conclusions.html |
7.54KB |
| 16. Drawing Conclusions-s-4ghG9vrGQ.en.vtt |
1.27KB |
| 16. Drawing Conclusions-s-4ghG9vrGQ.mp4 |
4.51MB |
| 16. Drawing Conclusions-s-4ghG9vrGQ.pt-BR.vtt |
1.53KB |
| 16. Drawing Conclusions-s-4ghG9vrGQ.zh-CN.vtt |
1.06KB |
| 16. Error Functions Around the World.html |
6.27KB |
| 16. Error Functions Around the World-34AAcTECu2A.en.vtt |
1.17KB |
| 16. Error Functions Around the World-34AAcTECu2A.mp4 |
1.73MB |
| 16. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt |
1.08KB |
| 16. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt |
1.13KB |
| 16. Exercise regression with two stocks.html |
6.92KB |
| 16. Fundamentals.html |
7.31KB |
| 16. Higher Dimensions.html |
6.85KB |
| 16. Higher Dimensions--UvpQV1qmiE.en.vtt |
2.94KB |
| 16. Higher Dimensions--UvpQV1qmiE.mp4 |
2.65MB |
| 16. Higher Dimensions--UvpQV1qmiE.pt-BR.vtt |
2.78KB |
| 16. How Do We Choose Between Hypotheses.html |
10.89KB |
| 16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.en.vtt |
1.07KB |
| 16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.mp4 |
3.92MB |
| 16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.pt-BR.vtt |
1.03KB |
| 16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.zh-CN.vtt |
887B |
| 16. Hyperparameters.html |
12.43KB |
| 16. Inference and Validation.html |
7.83KB |
| 16. Interlude.html |
6.04KB |
| 16. Introduction to BeautifulSoup.html |
6.96KB |
| 16. L3 13 Summary V1-I7XKJf8t_0s.en.vtt |
760B |
| 16. L3 13 Summary V1-I7XKJf8t_0s.mp4 |
2.46MB |
| 16. M4 L1B 16 Fundamentals V1-rPii5-ry8nc.en.vtt |
2.06KB |
| 16. M4 L1B 16 Fundamentals V1-rPii5-ry8nc.mp4 |
5.70MB |
| 16. M4 L2A 27 Summary V1-rdqINNkTlqs.en.vtt |
1.91KB |
| 16. M4 L2A 27 Summary V1-rdqINNkTlqs.mp4 |
4.52MB |
| 16. M4 L2b 15 PCA As A Factor Model Pt 1 V3-4E3C5E-MmkI.en.vtt |
3.45KB |
| 16. M4 L2b 15 PCA As A Factor Model Pt 1 V3-4E3C5E-MmkI.mp4 |
4.17MB |
| 16. M4 L3a 09 Smoothing V2-mAfrjpZOf7Q.en.vtt |
2.98KB |
| 16. M4 L3a 09 Smoothing V2-mAfrjpZOf7Q.mp4 |
3.11MB |
| 16. M4 L3b 12 Skewness And Momentum Momentum Enhances Or Weakened By Skew V2-S73J_h8DHsE.en.vtt |
3.48KB |
| 16. M4 L3b 12 Skewness And Momentum Momentum Enhances Or Weakened By Skew V2-S73J_h8DHsE.mp4 |
8.57MB |
| 16. Measures of Center (Median).html |
9.95KB |
| 16. MV 12 Embrace The Struggle V2-SGcgOm5kiKU.mp4 |
18.31MB |
| 16. Notebook + Quiz Law of Large Numbers.html |
10.08KB |
| 16. Notebook Character-Level RNN.html |
8.57KB |
| 16. Notebook New Mean and Variance.html |
8.02KB |
| 16. One Of Three 2.html |
8.74KB |
| 16. One Of Three 2-27Ed1GI4j84.ar.vtt |
1.26KB |
| 16. One Of Three 2-27Ed1GI4j84.en.vtt |
964B |
| 16. One Of Three 2-27Ed1GI4j84.es-ES.vtt |
967B |
| 16. One Of Three 2-27Ed1GI4j84.hr.vtt |
925B |
| 16. One Of Three 2-27Ed1GI4j84.it.vtt |
969B |
| 16. One Of Three 2-27Ed1GI4j84.ja.vtt |
949B |
| 16. One Of Three 2-27Ed1GI4j84.mp4 |
11.22MB |
| 16. One Of Three 2-27Ed1GI4j84.pt-BR.vtt |
1.29KB |
| 16. One Of Three 2-27Ed1GI4j84.zh-CN.vtt |
908B |
| 16. One Of Three 2-gGgqTGZ9TKg.ar.vtt |
1.22KB |
| 16. One Of Three 2-gGgqTGZ9TKg.en.vtt |
997B |
| 16. One Of Three 2-gGgqTGZ9TKg.es-ES.vtt |
971B |
| 16. One Of Three 2-gGgqTGZ9TKg.hr.vtt |
956B |
| 16. One Of Three 2-gGgqTGZ9TKg.it.vtt |
994B |
| 16. One Of Three 2-gGgqTGZ9TKg.ja.vtt |
952B |
| 16. One Of Three 2-gGgqTGZ9TKg.mp4 |
5.49MB |
| 16. One Of Three 2-gGgqTGZ9TKg.pt-BR.vtt |
1.01KB |
| 16. One Of Three 2-gGgqTGZ9TKg.th.vtt |
2.00KB |
| 16. One Of Three 2-gGgqTGZ9TKg.zh-CN.vtt |
912B |
| 16. Outro.html |
6.13KB |
| 16. PCA as a Factor Model.html |
6.39KB |
| 16. Portfolio Variance Exercise.html |
7.18KB |
| 16. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.en.vtt |
8.91KB |
| 16. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.mp4 |
12.81MB |
| 16. Quiz Rate of Returns Over Multiple Periods.html |
7.81KB |
| 16. Quiz - Softmax-NNoezNnAMTY.en.vtt |
495B |
| 16. Quiz - Softmax-NNoezNnAMTY.en.vtt |
495B |
| 16. Quiz - Softmax-NNoezNnAMTY.mp4 |
1.73MB |
| 16. Quiz - Softmax-NNoezNnAMTY.mp4 |
1.73MB |
| 16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt |
501B |
| 16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt |
501B |
| 16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt |
548B |
| 16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt |
548B |
| 16. Skewness and Momentum Momentum Enhanced or weakened by Skew.html |
8.27KB |
| 16. Smoothing.html |
10.84KB |
| 16. Softmax.html |
12.74KB |
| 16. Softmax.html |
12.74KB |
| 16. Summary.html |
6.01KB |
| 16. Summary.html |
6.04KB |
| 16. Text Measures of Center and Spread Summary.html |
11.79KB |
| 16. Text Summary.html |
7.06KB |
| 16. Type and Type Conversion.html |
10.32KB |
| 16. Type Type Conversion-yN6Fam_vZrU.ar.vtt |
4.36KB |
| 16. Type Type Conversion-yN6Fam_vZrU.en.vtt |
3.19KB |
| 16. Type Type Conversion-yN6Fam_vZrU.mp4 |
9.40MB |
| 16. Type Type Conversion-yN6Fam_vZrU.pt-BR.vtt |
3.67KB |
| 16. Type Type Conversion-yN6Fam_vZrU.zh-CN.vtt |
2.95KB |
| 16. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.en.vtt |
2.64KB |
| 16. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.mp4 |
2.48MB |
| 16. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.pt-BR.vtt |
2.72KB |
| 16. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.zh-CN.vtt |
2.30KB |
| 16. Video Confidence Intervals Hypothesis Tests.html |
7.29KB |
| 17. [Optional] Generator Expressions.html |
6.76KB |
| 17. 04 Implementing CharRNN V2-MMtgZXzFB10.en.vtt |
11.56KB |
| 17. 04 Implementing CharRNN V2-MMtgZXzFB10.mp4 |
15.77MB |
| 17. 04 Implementing CharRNN V2-MMtgZXzFB10.pt-BR.vtt |
10.73KB |
| 17. Counterintuitive Clusters 2.html |
8.06KB |
| 17. Counterintuitive Clusters 2-HyjBus7S2gY.ar.vtt |
1.86KB |
| 17. Counterintuitive Clusters 2-HyjBus7S2gY.en.vtt |
1.48KB |
| 17. Counterintuitive Clusters 2-HyjBus7S2gY.mp4 |
7.25MB |
| 17. Counterintuitive Clusters 2-HyjBus7S2gY.pt-BR.vtt |
1.54KB |
| 17. Counterintuitive Clusters 2-HyjBus7S2gY.zh-CN.vtt |
1.37KB |
| 17. Counterintuitive Clusters 2-xSQTzAeeoEc.ar.vtt |
841B |
| 17. Counterintuitive Clusters 2-xSQTzAeeoEc.en.vtt |
665B |
| 17. Counterintuitive Clusters 2-xSQTzAeeoEc.mp4 |
1.99MB |
| 17. Counterintuitive Clusters 2-xSQTzAeeoEc.pt-BR.vtt |
672B |
| 17. Counterintuitive Clusters 2-xSQTzAeeoEc.zh-CN.vtt |
633B |
| 17. Decision Trees in sklearn.html |
15.86KB |
| 17. Disease Test 4.html |
10.24KB |
| 17. Disease Test 4-UERKMwmkAsM.ar.vtt |
161B |
| 17. Disease Test 4-UERKMwmkAsM.en.vtt |
120B |
| 17. Disease Test 4-UERKMwmkAsM.es-ES.vtt |
129B |
| 17. Disease Test 4-UERKMwmkAsM.ja.vtt |
126B |
| 17. Disease Test 4-UERKMwmkAsM.mp4 |
753.05KB |
| 17. Disease Test 4-UERKMwmkAsM.pt-BR.vtt |
123B |
| 17. Disease Test 4-UERKMwmkAsM.th.vtt |
205B |
| 17. Disease Test 4-UERKMwmkAsM.zh-CN.vtt |
116B |
| 17. Disease Test 4-ztkKTrMZHXg.ar.vtt |
96B |
| 17. Disease Test 4-ztkKTrMZHXg.en.vtt |
95B |
| 17. Disease Test 4-ztkKTrMZHXg.es-ES.vtt |
101B |
| 17. Disease Test 4-ztkKTrMZHXg.ja.vtt |
110B |
| 17. Disease Test 4-ztkKTrMZHXg.mp4 |
284.83KB |
| 17. Disease Test 4-ztkKTrMZHXg.pt-BR.vtt |
94B |
| 17. Disease Test 4-ztkKTrMZHXg.th.vtt |
152B |
| 17. Disease Test 4-ztkKTrMZHXg.zh-CN.vtt |
98B |
| 17. Even Roll.html |
8.80KB |
| 17. Even Roll-DrnAR4SqlEE.ar.vtt |
1.05KB |
| 17. Even Roll-DrnAR4SqlEE.en.vtt |
826B |
| 17. Even Roll-DrnAR4SqlEE.es-ES.vtt |
850B |
| 17. Even Roll-DrnAR4SqlEE.hr.vtt |
792B |
| 17. Even Roll-DrnAR4SqlEE.it.vtt |
866B |
| 17. Even Roll-DrnAR4SqlEE.ja.vtt |
872B |
| 17. Even Roll-DrnAR4SqlEE.mp4 |
5.70MB |
| 17. Even Roll-DrnAR4SqlEE.pt-BR.vtt |
914B |
| 17. Even Roll-DrnAR4SqlEE.th.vtt |
1.69KB |
| 17. Even Roll-DrnAR4SqlEE.zh-CN.vtt |
676B |
| 17. Even Roll-M3L0a5V4Nf0.ar.vtt |
684B |
| 17. Even Roll-M3L0a5V4Nf0.en.vtt |
558B |
| 17. Even Roll-M3L0a5V4Nf0.es-ES.vtt |
611B |
| 17. Even Roll-M3L0a5V4Nf0.hr.vtt |
517B |
| 17. Even Roll-M3L0a5V4Nf0.it.vtt |
571B |
| 17. Even Roll-M3L0a5V4Nf0.ja.vtt |
596B |
| 17. Even Roll-M3L0a5V4Nf0.mp4 |
3.94MB |
| 17. Even Roll-M3L0a5V4Nf0.pt-BR.vtt |
597B |
| 17. Even Roll-M3L0a5V4Nf0.zh-CN.vtt |
538B |
| 17. Feedback.html |
6.73KB |
| 17. Fundamental Ratios.html |
7.34KB |
| 17. Implementing a Char-RNN.html |
6.96KB |
| 17. Iterating Through Dictionaries with For Loops.html |
11.30KB |
| 17. L1 19 Smart Beta V2-Rc9NEmNMzk8.en.vtt |
1.47KB |
| 17. L1 19 Smart Beta V2-Rc9NEmNMzk8.mp4 |
4.30MB |
| 17. M2L3 15 Summary V1-n2VxcEcw0GY.en.vtt |
710B |
| 17. M2L3 15 Summary V1-n2VxcEcw0GY.mp4 |
2.11MB |
| 17. M4 L1B 17 Fundamental Ratios V2-Eo-faV9CsP8.en.vtt |
2.90KB |
| 17. M4 L1B 17 Fundamental Ratios V2-Eo-faV9CsP8.mp4 |
8.24MB |
| 17. M4 L2A 11 Types Of Risk Models V1-SHj2VzJggAE.en.vtt |
1.81KB |
| 17. M4 L2A 11 Types Of Risk Models V1-SHj2VzJggAE.mp4 |
3.98MB |
| 17. M4 L2b 16 PCA As A Factor Model Pt 2 V2-sDbmO0kHx9A.en.vtt |
3.34KB |
| 17. M4 L2b 16 PCA As A Factor Model Pt 2 V2-sDbmO0kHx9A.mp4 |
3.21MB |
| 17. M4 L3b 13 Skewness And Momentum Conditional Factor V2-cMLTVZFKEm0.en.vtt |
1.56KB |
| 17. M4 L3b 13 Skewness And Momentum Conditional Factor V2-cMLTVZFKEm0.mp4 |
2.90MB |
| 17. Measures of Center - The Mode-NE81NZgECqg.ar.vtt |
861B |
| 17. Measures of Center - The Mode-NE81NZgECqg.en.vtt |
653B |
| 17. Measures of Center - The Mode-NE81NZgECqg.mp4 |
954.56KB |
| 17. Measures of Center - The Mode-NE81NZgECqg.pt-BR.vtt |
629B |
| 17. Measures of Center - The Mode-NE81NZgECqg.zh-CN.vtt |
613B |
| 17. Multiple Linear Regression.html |
13.18KB |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.en.vtt |
983B |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.es-ES.vtt |
1.02KB |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ja.vtt |
1.04KB |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.mp4 |
6.31MB |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ru.vtt |
1.44KB |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.zh-CN.vtt |
891B |
| 17. One-Hot Encoding.html |
8.40KB |
| 17. One-Hot Encoding.html |
8.40KB |
| 17. One-Hot Encoding-AePvjhyvsBo.en.vtt |
2.23KB |
| 17. One-Hot Encoding-AePvjhyvsBo.en.vtt |
2.23KB |
| 17. One-Hot Encoding-AePvjhyvsBo.mp4 |
1.65MB |
| 17. One-Hot Encoding-AePvjhyvsBo.mp4 |
1.65MB |
| 17. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt |
2.03KB |
| 17. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt |
2.03KB |
| 17. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt |
2.02KB |
| 17. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt |
2.02KB |
| 17. Parsers.html |
8.67KB |
| 17. PCA as a Factor Model Part 2.html |
6.41KB |
| 17. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.en.vtt |
7.45KB |
| 17. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.mp4 |
15.84MB |
| 17. Quiz Difficulties in AB Testing.html |
14.75KB |
| 17. Quiz Type and Type Conversion.html |
15.77KB |
| 17. Reading and Writing Files.html |
12.83KB |
| 17. Reading And Writing Files Part II-1GRv1S6K8gQ.ar.vtt |
6.33KB |
| 17. Reading And Writing Files Part II-1GRv1S6K8gQ.en.vtt |
4.90KB |
| 17. Reading And Writing Files Part II-1GRv1S6K8gQ.mp4 |
5.92MB |
| 17. Reading And Writing Files Part II-1GRv1S6K8gQ.pt-BR.vtt |
5.51KB |
| 17. Reading And Writing Files Part II-1GRv1S6K8gQ.zh-CN.vtt |
4.55KB |
| 17. Reading And Writing Files Using With-OQ-Y0mMjm00.ar.vtt |
2.43KB |
| 17. Reading And Writing Files Using With-OQ-Y0mMjm00.en.vtt |
1.73KB |
| 17. Reading And Writing Files Using With-OQ-Y0mMjm00.mp4 |
1.91MB |
| 17. Reading And Writing Files Using With-OQ-Y0mMjm00.pt-BR.vtt |
2.00KB |
| 17. Reading And Writing Files Using With-OQ-Y0mMjm00.zh-CN.vtt |
1.60KB |
| 17. Reading And Writing Files-w-ZG6DMkVi4.ar.vtt |
3.29KB |
| 17. Reading And Writing Files-w-ZG6DMkVi4.en.vtt |
2.47KB |
| 17. Reading And Writing Files-w-ZG6DMkVi4.mp4 |
10.81MB |
| 17. Reading And Writing Files-w-ZG6DMkVi4.pt-BR.vtt |
2.81KB |
| 17. Reading And Writing Files-w-ZG6DMkVi4.zh-CN.vtt |
2.21KB |
| 17. Shape of Distributions-UnN99AAYf8k.ar.vtt |
4.11KB |
| 17. Shape of Distributions-UnN99AAYf8k.en.vtt |
2.94KB |
| 17. Shape of Distributions-UnN99AAYf8k.mp4 |
3.17MB |
| 17. Shape of Distributions-UnN99AAYf8k.pt-BR.vtt |
2.94KB |
| 17. Shape of Distributions-UnN99AAYf8k.zh-CN.vtt |
2.30KB |
| 17. Simulating From the Null-sL2yJtHZd8Y.en.vtt |
3.31KB |
| 17. Simulating From the Null-sL2yJtHZd8Y.mp4 |
3.75MB |
| 17. Simulating From the Null-sL2yJtHZd8Y.pt-BR.vtt |
3.27KB |
| 17. Simulating From the Null-sL2yJtHZd8Y.zh-CN.vtt |
2.70KB |
| 17. Skewness and Momentum Conditional Factor.html |
8.18KB |
| 17. Smart Beta.html |
9.42KB |
| 17. Smoothing Quiz 1.html |
12.09KB |
| 17. Solution New Mean and Variance.html |
8.19KB |
| 17. Summary.html |
6.22KB |
| 17. Text Recap + Next Steps.html |
7.76KB |
| 17. Text Recap + Next Steps.html |
10.98KB |
| 17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.ar.vtt |
1.07KB |
| 17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.en.vtt |
818B |
| 17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.mp4 |
2.73MB |
| 17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.pt-BR.vtt |
944B |
| 17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.zh-CN.vtt |
670B |
| 17. Types of Risk Models.html |
6.82KB |
| 17. Validation Solution.html |
7.29KB |
| 17. Video Measures of Center (Mode).html |
9.19KB |
| 17. Video Shape.html |
10.38KB |
| 17. Video Simulating from the Null.html |
9.92KB |
| 17. Video Two Useful Theorems - Central Limit Theorem.html |
9.70KB |
| 18. 05 Batching Data V1-9Eg0wf3eW-k.en.vtt |
5.17KB |
| 18. 05 Batching Data V1-9Eg0wf3eW-k.mp4 |
5.82MB |
| 18. 05 Batching Data V1-9Eg0wf3eW-k.pt-BR.vtt |
4.92KB |
| 18. Batching Data, Solution.html |
6.58KB |
| 18. Closed Form Solution.html |
7.04KB |
| 18. Closed Form Solution-G3fRVgLa5gI.en.vtt |
3.54KB |
| 18. Closed Form Solution-G3fRVgLa5gI.mp4 |
2.84MB |
| 18. Closed Form Solution-G3fRVgLa5gI.pt-BR.vtt |
3.39KB |
| 18. Conclusion.html |
7.34KB |
| 18. Conclusion.html |
6.67KB |
| 18. Conclusion-qmGjRpMVBz8.en.vtt |
586B |
| 18. Conclusion-qmGjRpMVBz8.mp4 |
2.14MB |
| 18. Conclusion-qmGjRpMVBz8.pt-BR.vtt |
745B |
| 18. Conclusion-qmGjRpMVBz8.zh-CN.vtt |
504B |
| 18. Conclusion-QRnLr7pwHyk.ar.vtt |
953B |
| 18. Conclusion-QRnLr7pwHyk.en.vtt |
763B |
| 18. Conclusion-QRnLr7pwHyk.mp4 |
4.48MB |
| 18. Conclusion-QRnLr7pwHyk.pt-BR.vtt |
746B |
| 18. Conclusion-QRnLr7pwHyk.zh-CN.vtt |
724B |
| 18. Data in the Real World-HmipezTjTDY.ar.vtt |
2.08KB |
| 18. Data in the Real World-HmipezTjTDY.en.vtt |
1.58KB |
| 18. Data in the Real World-HmipezTjTDY.mp4 |
3.77MB |
| 18. Data in the Real World-HmipezTjTDY.pt-BR.vtt |
1.71KB |
| 18. Data in the Real World-HmipezTjTDY.zh-CN.vtt |
1.39KB |
| 18. Disease Test 5.html |
10.53KB |
| 18. Disease Test 5-4qW7a5E74No.ar.vtt |
122B |
| 18. Disease Test 5-4qW7a5E74No.en.vtt |
110B |
| 18. Disease Test 5-4qW7a5E74No.es-ES.vtt |
120B |
| 18. Disease Test 5-4qW7a5E74No.ja.vtt |
123B |
| 18. Disease Test 5-4qW7a5E74No.mp4 |
390.91KB |
| 18. Disease Test 5-4qW7a5E74No.pt-BR.vtt |
122B |
| 18. Disease Test 5-4qW7a5E74No.th.vtt |
160B |
| 18. Disease Test 5-4qW7a5E74No.zh-CN.vtt |
111B |
| 18. Disease Test 5-nUxwwMNKIYo.ar.vtt |
670B |
| 18. Disease Test 5-nUxwwMNKIYo.en.vtt |
470B |
| 18. Disease Test 5-nUxwwMNKIYo.es-ES.vtt |
471B |
| 18. Disease Test 5-nUxwwMNKIYo.ja.vtt |
525B |
| 18. Disease Test 5-nUxwwMNKIYo.mp4 |
3.59MB |
| 18. Disease Test 5-nUxwwMNKIYo.pt-BR.vtt |
620B |
| 18. Disease Test 5-nUxwwMNKIYo.th.vtt |
779B |
| 18. Disease Test 5-nUxwwMNKIYo.zh-CN.vtt |
431B |
| 18. Doubles.html |
8.70KB |
| 18. Doubles-fkUyTJNbdzU.ar.vtt |
1.97KB |
| 18. Doubles-fkUyTJNbdzU.en.vtt |
1.42KB |
| 18. Doubles-fkUyTJNbdzU.es-ES.vtt |
1.45KB |
| 18. Doubles-fkUyTJNbdzU.hr.vtt |
1.36KB |
| 18. Doubles-fkUyTJNbdzU.it.vtt |
1.42KB |
| 18. Doubles-fkUyTJNbdzU.ja.vtt |
1.39KB |
| 18. Doubles-fkUyTJNbdzU.mp4 |
11.26MB |
| 18. Doubles-fkUyTJNbdzU.pt-BR.vtt |
1.53KB |
| 18. Doubles-fkUyTJNbdzU.th.vtt |
2.56KB |
| 18. Doubles-fkUyTJNbdzU.zh-CN.vtt |
1.28KB |
| 18. Doubles-On_Guw8wac8.ar.vtt |
765B |
| 18. Doubles-On_Guw8wac8.en.vtt |
569B |
| 18. Doubles-On_Guw8wac8.es-ES.vtt |
608B |
| 18. Doubles-On_Guw8wac8.hr.vtt |
565B |
| 18. Doubles-On_Guw8wac8.it.vtt |
625B |
| 18. Doubles-On_Guw8wac8.ja.vtt |
594B |
| 18. Doubles-On_Guw8wac8.mp4 |
3.65MB |
| 18. Doubles-On_Guw8wac8.pt-BR.vtt |
598B |
| 18. Doubles-On_Guw8wac8.th.vtt |
1.04KB |
| 18. Doubles-On_Guw8wac8.zh-CN.vtt |
531B |
| 18. Dropout Solution.html |
7.29KB |
| 18. Event-Driven Factors.html |
7.34KB |
| 18. HTML Structure.html |
6.90KB |
| 18. Interlude.html |
6.44KB |
| 18. Interlude Your Brain.html |
6.29KB |
| 18. iVol Value and Idiosyncratic volatility Overview.html |
11.05KB |
| 18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.en.vtt |
3.60KB |
| 18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.mp4 |
3.04MB |
| 18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.zh-CN.vtt |
3.06KB |
| 18. L1 20 Mutual Funds V2-LgaylDkS92Y.en.vtt |
1.16KB |
| 18. L1 20 Mutual Funds V2-LgaylDkS92Y.mp4 |
3.01MB |
| 18. M4 L1B 18 EventDriven Factors V1-2mnwjChH2hg.en.vtt |
1.87KB |
| 18. M4 L1B 18 EventDriven Factors V1-2mnwjChH2hg.mp4 |
4.64MB |
| 18. M4 L3b 14 IVol Value And Idiosyncratic Volatility Overview V2-h7vamh2FPMs.en.vtt |
1.91KB |
| 18. M4 L3b 14 IVol Value And Idiosyncratic Volatility Overview V2-h7vamh2FPMs.mp4 |
4.60MB |
| 18. M5 SC 16 HTML Structure V1-R3QLtHxedXw.mp4 |
15.07MB |
| 18. Maximum Likelihood.html |
10.78KB |
| 18. Maximum Likelihood.html |
10.78KB |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt |
1.64KB |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt |
1.64KB |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.mp4 |
5.75MB |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.mp4 |
5.75MB |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.pt-BR.vtt |
1.61KB |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.pt-BR.vtt |
1.61KB |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.zh-CN.vtt |
1.43KB |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.zh-CN.vtt |
1.43KB |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt |
4.41KB |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt |
4.41KB |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.mp4 |
3.85MB |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.mp4 |
3.85MB |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt |
4.49KB |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt |
4.49KB |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt |
3.67KB |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt |
3.67KB |
| 18. Measures of Center (Mode).html |
15.13KB |
| 18. Mutual Funds.html |
7.33KB |
| 18. MV 14 What Happens In Your Brain V1-ioDP7ndd40Y.en.vtt |
2.63KB |
| 18. MV 14 What Happens In Your Brain V1-ioDP7ndd40Y.mp4 |
5.58MB |
| 18. MV When You Dont Believe In Yourself 1 V1-rjCr-Z7UhZE.mp4 |
19.84MB |
| 18. Notebook + Quiz Central Limit Theorem.html |
12.26KB |
| 18. Notebook + Quiz Simulating from the Null.html |
19.14KB |
| 18. PCA as a Factor Model Coding Exercise.html |
7.01KB |
| 18. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.en.vtt |
2.06KB |
| 18. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.mp4 |
2.78MB |
| 18. Quiz Gaussian Motion.html |
9.32KB |
| 18. Quiz Iterating Through Dictionaries.html |
13.91KB |
| 18. Quiz Reading and Writing Files.html |
16.72KB |
| 18. Smoothing Exercise.html |
11.49KB |
| 18. Solution Type and Type Conversion.html |
9.04KB |
| 18. Titanic Survival Model with Decision Trees.html |
7.09KB |
| 18. Video The Shape For Data In The World.html |
9.71KB |
| 19. (Optional) Closed form Solution Math.html |
14.26KB |
| 19. [Solution] Titanic Survival Model.html |
7.08KB |
| 19. 06 Defining Model V2-_LWzyqq4hCY.en.vtt |
5.76KB |
| 19. 06 Defining Model V2-_LWzyqq4hCY.mp4 |
9.05MB |
| 19. 06 Defining Model V2-_LWzyqq4hCY.pt-BR.vtt |
5.99KB |
| 19. Answer Gaussian Motion.html |
7.60KB |
| 19. Defining the Model.html |
7.06KB |
| 19. Disease Test 6.html |
10.54KB |
| 19. Disease Test 6-cdFrLeXIkZU.ar.vtt |
341B |
| 19. Disease Test 6-cdFrLeXIkZU.en.vtt |
241B |
| 19. Disease Test 6-cdFrLeXIkZU.es-ES.vtt |
260B |
| 19. Disease Test 6-cdFrLeXIkZU.ja.vtt |
241B |
| 19. Disease Test 6-cdFrLeXIkZU.mp4 |
1.21MB |
| 19. Disease Test 6-cdFrLeXIkZU.pt-BR.vtt |
269B |
| 19. Disease Test 6-cdFrLeXIkZU.th.vtt |
441B |
| 19. Disease Test 6-cdFrLeXIkZU.zh-CN.vtt |
214B |
| 19. Disease Test 6-OdVAt79eQak.ar.vtt |
1.07KB |
| 19. Disease Test 6-OdVAt79eQak.en.vtt |
772B |
| 19. Disease Test 6-OdVAt79eQak.en-GB.vtt |
1.26KB |
| 19. Disease Test 6-OdVAt79eQak.es-ES.vtt |
777B |
| 19. Disease Test 6-OdVAt79eQak.ja.vtt |
813B |
| 19. Disease Test 6-OdVAt79eQak.mp4 |
7.08MB |
| 19. Disease Test 6-OdVAt79eQak.pt-BR.vtt |
937B |
| 19. Disease Test 6-OdVAt79eQak.zh-CN.vtt |
675B |
| 19. Factor Returns.html |
10.86KB |
| 19. Further Learning.html |
6.72KB |
| 19. Hedge Funds.html |
7.46KB |
| 19. Index Changes.html |
7.31KB |
| 19. iVol Arbitrage and Efficient Pricing of Stocks.html |
8.21KB |
| 19. L1 21 Hedge Funds V4-AgGPqvDFTHw.en.vtt |
1.25KB |
| 19. L1 21 Hedge Funds V4-AgGPqvDFTHw.mp4 |
3.15MB |
| 19. M4 L1B 19 Index Changes V1-C7QNfPZBXXo.en.vtt |
2.21KB |
| 19. M4 L1B 19 Index Changes V1-C7QNfPZBXXo.mp4 |
6.47MB |
| 19. M4 L2b 19 Outro V1-nfVnAkndJCY.en.vtt |
700B |
| 19. M4 L2b 19 Outro V1-nfVnAkndJCY.mp4 |
1.97MB |
| 19. M4 L3a 10 Factor Returns V5-enyeTpyCS-o.en.vtt |
3.44KB |
| 19. M4 L3a 10 Factor Returns V5-enyeTpyCS-o.mp4 |
7.22MB |
| 19. M4 L3b 15 IVol Arbitrage And Efficient Pricing Of Stocks V3-7Fqe5DP6iG8.en.vtt |
1.83KB |
| 19. M4 L3b 15 IVol Arbitrage And Efficient Pricing Of Stocks V3-7Fqe5DP6iG8.mp4 |
2.75MB |
| 19. M5 SC 10 Parsing An HTML File V1-Ybl4fI92cYE.mp4 |
3.65MB |
| 19. Maximizing Probabilities.html |
10.25KB |
| 19. Maximizing Probabilities.html |
10.25KB |
| 19. Notebook + Quiz Central Limit Theorem - Part II.html |
12.23KB |
| 19. Outro.html |
6.30KB |
| 19. Parsing an HTML File.html |
7.88KB |
| 19. Probability Conclusion.html |
6.55KB |
| 19. Probability Conclusion-dsVKoXymYDU.ar.vtt |
2.00KB |
| 19. Probability Conclusion-dsVKoXymYDU.en.vtt |
1.50KB |
| 19. Probability Conclusion-dsVKoXymYDU.mp4 |
5.26MB |
| 19. Probability Conclusion-dsVKoXymYDU.pt-BR.vtt |
1.70KB |
| 19. Probability Conclusion-dsVKoXymYDU.zh-CN.vtt |
1.27KB |
| 19. PyTorch - Part 6-3ZJfo2bR-uw.en.vtt |
9.34KB |
| 19. PyTorch - Part 6-3ZJfo2bR-uw.mp4 |
14.93MB |
| 19. PyTorch - Part 6-3ZJfo2bR-uw.pt-BR.vtt |
9.75KB |
| 19. PyTorch - Part 6-3ZJfo2bR-uw.zh-CN.vtt |
7.87KB |
| 19. Quiz - Cross 1--xxrisIvD0E.en.vtt |
918B |
| 19. Quiz - Cross 1--xxrisIvD0E.en.vtt |
918B |
| 19. Quiz - Cross 1--xxrisIvD0E.mp4 |
3.02MB |
| 19. Quiz - Cross 1--xxrisIvD0E.mp4 |
3.02MB |
| 19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt |
947B |
| 19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt |
947B |
| 19. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt |
813B |
| 19. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt |
813B |
| 19. Quiz Cross Entropy-njq6bYrPqSU.en.vtt |
2.30KB |
| 19. Quiz Cross Entropy-njq6bYrPqSU.en.vtt |
2.30KB |
| 19. Quiz Cross Entropy-njq6bYrPqSU.mp4 |
1.86MB |
| 19. Quiz Cross Entropy-njq6bYrPqSU.mp4 |
1.86MB |
| 19. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt |
2.28KB |
| 19. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt |
2.28KB |
| 19. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt |
2.07KB |
| 19. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt |
2.07KB |
| 19. Quiz Shape and Outliers (What's the Impact).html |
12.24KB |
| 19. Saving and Loading Models.html |
7.50KB |
| 19. Solution Iterating Through Dictionaries.html |
9.28KB |
| 19. Solution Reading and Writing Files.html |
8.84KB |
| 19. String Methods.html |
13.11KB |
| 19. String Methods-Bv7CAxVOONs.ar.vtt |
4.57KB |
| 19. String Methods-Bv7CAxVOONs.en.vtt |
3.38KB |
| 19. String Methods-Bv7CAxVOONs.mp4 |
23.75MB |
| 19. String Methods-Bv7CAxVOONs.pt-BR.vtt |
3.62KB |
| 19. String Methods-Bv7CAxVOONs.zh-CN.vtt |
3.07KB |
| 19. Video What is Notation.html |
10.42KB |
| 19. What is a p-value Anyway.html |
11.13KB |
| 19. What Is A P-value Anyway-eU6pUZjqviA.en.vtt |
4.05KB |
| 19. What Is A P-value Anyway-eU6pUZjqviA.mp4 |
7.27MB |
| 19. What Is A P-value Anyway-eU6pUZjqviA.pt-BR.vtt |
4.18KB |
| 19. What Is A P-value Anyway-eU6pUZjqviA.zh-CN.vtt |
3.35KB |
| 19. What is Notation-MaHV5cKfcmE.ar.vtt |
2.00KB |
| 19. What is Notation-MaHV5cKfcmE.en.vtt |
1.49KB |
| 19. What is Notation-MaHV5cKfcmE.mp4 |
4.82MB |
| 19. What is Notation-MaHV5cKfcmE.pt-BR.vtt |
1.71KB |
| 19. What is Notation-MaHV5cKfcmE.zh-CN.vtt |
1.43KB |
| 20. 07 CharRNN Solution V1-ed33qePHrJM.en.vtt |
11.40KB |
| 20. 07 CharRNN Solution V1-ed33qePHrJM.mp4 |
18.32MB |
| 20. 07 CharRNN Solution V1-ed33qePHrJM.pt-BR.vtt |
11.12KB |
| 20. Bayes Rule Summary.html |
8.69KB |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.ar.vtt |
3.79KB |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.en.vtt |
2.58KB |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.es-ES.vtt |
2.68KB |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.ja.vtt |
2.63KB |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.mp4 |
16.86MB |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.pt-BR.vtt |
3.17KB |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.th.vtt |
4.73KB |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.zh-CN.vtt |
2.25KB |
| 20. Calculating the p-value-_W3Jg7jQ8jI.en.vtt |
3.60KB |
| 20. Calculating the p-value-_W3Jg7jQ8jI.mp4 |
3.64MB |
| 20. Calculating the p-value-_W3Jg7jQ8jI.pt-BR.vtt |
3.59KB |
| 20. Calculating the p-value-_W3Jg7jQ8jI.zh-CN.vtt |
2.86KB |
| 20. Char-RNN, Solution.html |
8.41KB |
| 20. Cross-Entropy 1.html |
8.65KB |
| 20. Cross-Entropy 1.html |
8.65KB |
| 20. Cross Entropy 1-iREoPUrpXvE.en.vtt |
4.81KB |
| 20. Cross Entropy 1-iREoPUrpXvE.en.vtt |
4.81KB |
| 20. Cross Entropy 1-iREoPUrpXvE.mp4 |
4.22MB |
| 20. Cross Entropy 1-iREoPUrpXvE.mp4 |
4.22MB |
| 20. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt |
5.00KB |
| 20. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt |
5.00KB |
| 20. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt |
4.11KB |
| 20. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt |
4.11KB |
| 20. Factor returns quiz.html |
13.14KB |
| 20. Importing Files-qjeSn6zZbR0.ar.vtt |
8.71KB |
| 20. Importing Files-qjeSn6zZbR0.en.vtt |
6.47KB |
| 20. Importing Files-qjeSn6zZbR0.mp4 |
11.41MB |
| 20. Importing Files-qjeSn6zZbR0.pt-BR.vtt |
7.35KB |
| 20. Importing Files-qjeSn6zZbR0.zh-CN.vtt |
6.19KB |
| 20. Importing Local Scripts.html |
11.40KB |
| 20. iVol Arbitrage Risk.html |
8.08KB |
| 20. L1 22 Relative Returns V2-m4MvYRlyPoU.en.vtt |
1.77KB |
| 20. L1 22 Relative Returns V2-m4MvYRlyPoU.mp4 |
4.62MB |
| 20. L1 23 Absolute Returns V3-wbb6WSyXLdU.en.vtt |
872B |
| 20. L1 23 Absolute Returns V3-wbb6WSyXLdU.mp4 |
1.92MB |
| 20. L3 08 While Loops V3-7Sf5tcPlKQw.en.vtt |
3.04KB |
| 20. L3 08 While Loops V3-7Sf5tcPlKQw.mp4 |
10.89MB |
| 20. L3 08 While Loops V3-7Sf5tcPlKQw.pt-BR.vtt |
3.43KB |
| 20. L3 08 While Loops V3-7Sf5tcPlKQw.zh-CN.vtt |
2.81KB |
| 20. Linear Regression Warnings.html |
8.75KB |
| 20. Loading Image Data.html |
7.48KB |
| 20. M4 L1B 20 Pre And Post Event V1-Olz9QZQaBxs.en.vtt |
3.64KB |
| 20. M4 L1B 20 Pre And Post Event V1-Olz9QZQaBxs.mp4 |
10.49MB |
| 20. M4 L3b 16 IVol Arbitrage Risk V3-rKtJ3iAYYns.en.vtt |
2.28KB |
| 20. M4 L3b 16 IVol Arbitrage Risk V3-rKtJ3iAYYns.mp4 |
3.03MB |
| 20. M5 SC 11 Navigating The Parse Tree V1-NzOB9Vyy0l4.mp4 |
10.97MB |
| 20. Navigating The Parse Tree.html |
7.90KB |
| 20. Notation for Random Variables-8NxTW1u4s-Y.ar.vtt |
6.20KB |
| 20. Notation for Random Variables-8NxTW1u4s-Y.en.vtt |
4.68KB |
| 20. Notation for Random Variables-8NxTW1u4s-Y.mp4 |
5.66MB |
| 20. Notation for Random Variables-8NxTW1u4s-Y.pt-BR.vtt |
5.07KB |
| 20. Notation for Random Variables-8NxTW1u4s-Y.zh-CN.vtt |
4.18KB |
| 20. Outliers-HKIsvkZUZfo.ar.vtt |
3.49KB |
| 20. Outliers-HKIsvkZUZfo.en.vtt |
2.63KB |
| 20. Outliers-HKIsvkZUZfo.mp4 |
5.74MB |
| 20. Outliers-HKIsvkZUZfo.pt-BR.vtt |
2.69KB |
| 20. Outliers-HKIsvkZUZfo.zh-CN.vtt |
2.29KB |
| 20. Outro.html |
6.70KB |
| 20. Pre and Post Event.html |
7.34KB |
| 20. Predict Function.html |
7.92KB |
| 20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.en.vtt |
762B |
| 20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.es-ES.vtt |
819B |
| 20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.ja.vtt |
697B |
| 20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.mp4 |
1.20MB |
| 20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.zh-CN.vtt |
711B |
| 20. PyTorch - Part 7-hFu7GTfRWks.en.vtt |
10.67KB |
| 20. PyTorch - Part 7-hFu7GTfRWks.mp4 |
14.62MB |
| 20. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt |
10.86KB |
| 20. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt |
8.56KB |
| 20. Relative and Absolute Returns.html |
10.40KB |
| 20. String Methods.html |
12.66KB |
| 20. Text Recap + Next Steps.html |
7.92KB |
| 20. Video Calculating the p-value.html |
9.37KB |
| 20. Video Random Variables.html |
11.11KB |
| 20. Video Shape and Outliers.html |
9.62KB |
| 20. Video When Does the Central Limit Theorem Not Work.html |
9.52KB |
| 20. When Does the CLT Not Work-uZGTVUEMfrU.ar.vtt |
2.20KB |
| 20. When Does the CLT Not Work-uZGTVUEMfrU.en.vtt |
1.63KB |
| 20. When Does the CLT Not Work-uZGTVUEMfrU.mp4 |
4.80MB |
| 20. When Does the CLT Not Work-uZGTVUEMfrU.pt-BR.vtt |
1.77KB |
| 20. When Does the CLT Not Work-uZGTVUEMfrU.zh-CN.vtt |
1.35KB |
| 20. While Loops.html |
10.47KB |
| 21. 08 Making Predictions V3-BhrpV3kwATo.en.vtt |
8.77KB |
| 21. 08 Making Predictions V3-BhrpV3kwATo.mp4 |
12.38MB |
| 21. 08 Making Predictions V3-BhrpV3kwATo.pt-BR.vtt |
8.92KB |
| 21. Analyst Ratings.html |
7.32KB |
| 21. Another String Method - Split.html |
10.69KB |
| 21. Cross-Entropy 2.html |
10.99KB |
| 21. Cross-Entropy 2.html |
10.99KB |
| 21. CrossEntropy V1-1BnhC6e0TFw.en.vtt |
8.03KB |
| 21. CrossEntropy V1-1BnhC6e0TFw.en.vtt |
8.03KB |
| 21. CrossEntropy V1-1BnhC6e0TFw.mp4 |
6.61MB |
| 21. CrossEntropy V1-1BnhC6e0TFw.mp4 |
6.61MB |
| 21. CrossEntropy V1-1BnhC6e0TFw.pt-BR.vtt |
7.81KB |
| 21. CrossEntropy V1-1BnhC6e0TFw.pt-BR.vtt |
7.81KB |
| 21. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt |
6.66KB |
| 21. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt |
6.66KB |
| 21. Formula For Cross 1-qvr_ego_d6w.en.vtt |
607B |
| 21. Formula For Cross 1-qvr_ego_d6w.en.vtt |
607B |
| 21. Formula For Cross 1-qvr_ego_d6w.mp4 |
2.08MB |
| 21. Formula For Cross 1-qvr_ego_d6w.mp4 |
2.08MB |
| 21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt |
719B |
| 21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt |
719B |
| 21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt |
545B |
| 21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt |
545B |
| 21. get_clean_factor_and_forward_returns.html |
12.42KB |
| 21. Hedging Strategies.html |
7.14KB |
| 21. iVol Idiosyncratic Volatility.html |
8.13KB |
| 21. L1 24 Hedging Strategies V3-8bzw4ZMGpWU.en.vtt |
1.93KB |
| 21. L1 24 Hedging Strategies V3-8bzw4ZMGpWU.mp4 |
4.86MB |
| 21. Loading Image Data Solution.html |
7.30KB |
| 21. M4 L1B 21 Analyst Ratings V1-cHkJo8qBKes.en.vtt |
4.31KB |
| 21. M4 L1B 21 Analyst Ratings V1-cHkJo8qBKes.mp4 |
12.18MB |
| 21. M4 L3b 17 IVol Idiosyncratic Volatility V2-B8hOR4G9CJk.en.vtt |
2.84KB |
| 21. M4 L3b 17 IVol Idiosyncratic Volatility V2-B8hOR4G9CJk.mp4 |
7.04MB |
| 21. M5 SC 12 Searching The Parse Tree Part 1 V1-RyJuvYTF3Ms.mp4 |
11.88MB |
| 21. Making Predictions.html |
7.52KB |
| 21. Notebook + Quiz Central Limit Theorem - Part III.html |
12.65KB |
| 21. Notebook Predict Function.html |
8.01KB |
| 21. Polynomial Regression.html |
6.87KB |
| 21. Polynomial Regression-DBhWG-PagEQ.en.vtt |
1.29KB |
| 21. Polynomial Regression-DBhWG-PagEQ.mp4 |
982.28KB |
| 21. Polynomial Regression-DBhWG-PagEQ.pt-BR.vtt |
1.18KB |
| 21. Practice While Loops.html |
11.18KB |
| 21. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.en.vtt |
4.47KB |
| 21. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.mp4 |
6.80MB |
| 21. Quiz Variable Types.html |
10.35KB |
| 21. Quiz What is a p-value Anyway.html |
14.13KB |
| 21. Robot Sensing 1-_DjfTytro6I.ar.vtt |
2.01KB |
| 21. Robot Sensing 1-_DjfTytro6I.en.vtt |
1.43KB |
| 21. Robot Sensing 1-_DjfTytro6I.es-ES.vtt |
1.53KB |
| 21. Robot Sensing 1-_DjfTytro6I.ja.vtt |
1.38KB |
| 21. Robot Sensing 1-_DjfTytro6I.mp4 |
11.42MB |
| 21. Robot Sensing 1-_DjfTytro6I.pt-BR.vtt |
1.76KB |
| 21. Robot Sensing 1-_DjfTytro6I.th.vtt |
2.91KB |
| 21. Robot Sensing 1-_DjfTytro6I.zh-CN.vtt |
1.31KB |
| 21. Robot Sensing 1.html |
14.25KB |
| 21. Robot Sensing 1--TBAfU1cjRU.ar.vtt |
844B |
| 21. Robot Sensing 1--TBAfU1cjRU.en.vtt |
537B |
| 21. Robot Sensing 1--TBAfU1cjRU.es-ES.vtt |
560B |
| 21. Robot Sensing 1--TBAfU1cjRU.ja.vtt |
557B |
| 21. Robot Sensing 1--TBAfU1cjRU.mp4 |
5.17MB |
| 21. Robot Sensing 1--TBAfU1cjRU.pt-BR.vtt |
735B |
| 21. Robot Sensing 1--TBAfU1cjRU.th.vtt |
910B |
| 21. Robot Sensing 1--TBAfU1cjRU.zh-CN.vtt |
521B |
| 21. Searching The Parse Tree Part 1.html |
7.92KB |
| 21. The Standard Library.html |
8.30KB |
| 21. The Standard Library-Fw3vf0tDrJM.ar.vtt |
4.50KB |
| 21. The Standard Library-Fw3vf0tDrJM.en.vtt |
3.08KB |
| 21. The Standard Library-Fw3vf0tDrJM.mp4 |
10.55MB |
| 21. The Standard Library-Fw3vf0tDrJM.pt-BR.vtt |
3.39KB |
| 21. The Standard Library-Fw3vf0tDrJM.zh-CN.vtt |
2.73KB |
| 21. Video Working With Outliers.html |
9.73KB |
| 21. Working with Outliers-4RnQjtJB8t8.ar.vtt |
2.89KB |
| 21. Working with Outliers-4RnQjtJB8t8.en.vtt |
2.14KB |
| 21. Working with Outliers-4RnQjtJB8t8.mp4 |
4.89MB |
| 21. Working with Outliers-4RnQjtJB8t8.pt-BR.vtt |
2.46KB |
| 21. Working with Outliers-4RnQjtJB8t8.zh-CN.vtt |
1.90KB |
| 22. Alternative Data.html |
7.33KB |
| 22. Answer Predict Function.html |
7.99KB |
| 22. Bootstrapping-42j3YclcZ4Q.ar.vtt |
2.60KB |
| 22. Bootstrapping-42j3YclcZ4Q.en.vtt |
1.89KB |
| 22. Bootstrapping-42j3YclcZ4Q.mp4 |
4.23MB |
| 22. Bootstrapping-42j3YclcZ4Q.pt-BR.vtt |
2.01KB |
| 22. Bootstrapping-42j3YclcZ4Q.zh-CN.vtt |
1.66KB |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt |
4.72KB |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt |
4.72KB |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4 |
4.14MB |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4 |
4.14MB |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt |
4.54KB |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt |
4.54KB |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt |
4.01KB |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt |
4.01KB |
| 22. Factor and forward returns exercise.html |
11.53KB |
| 22. iVol Value, Fundamental or Discretionary Investing.html |
8.23KB |
| 22. L1 25 Net Asset Value V2-hBnY2DmEFo4.en.vtt |
1.13KB |
| 22. L1 25 Net Asset Value V2-hBnY2DmEFo4.mp4 |
2.06MB |
| 22. L2 07 Lists And Membership Operators II V3-3Nj-b-ZzqH8.mp4 |
4.83MB |
| 22. L2 07 Lists And Membership Operators II V3-3Nj-b-ZzqH8.pt-BR.vtt |
2.33KB |
| 22. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.mp4 |
6.06MB |
| 22. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.pt-BR.vtt |
2.95KB |
| 22. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.mp4 |
5.67MB |
| 22. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.pt-BR.vtt |
4.34KB |
| 22. Lists and Membership Operators.html |
15.50KB |
| 22. M4 L1B 22 Alternative Data V1-p6NxGZnkrdc.en.vtt |
1.38KB |
| 22. M4 L1B 22 Alternative Data V1-p6NxGZnkrdc.mp4 |
3.22MB |
| 22. M4 L3b 18 IVol Value Fundamental Or Discretionary Investing V2-sKAE5Z8e7IM.en.vtt |
4.54KB |
| 22. M4 L3b 18 IVol Value Fundamental Or Discretionary Investing V2-sKAE5Z8e7IM.mp4 |
11.14MB |
| 22. M5 SC 13 Searching The Parse Tree Part 2 V1-WS_bkGCk7qk.mp4 |
7.65MB |
| 22. Multi-Class Cross Entropy.html |
9.61KB |
| 22. Multi-Class Cross Entropy.html |
9.61KB |
| 22. Net Asset Value.html |
8.65KB |
| 22. Outliers Advice-BhhDoTgYQmI.ar.vtt |
1.91KB |
| 22. Outliers Advice-BhhDoTgYQmI.en.vtt |
1.48KB |
| 22. Outliers Advice-BhhDoTgYQmI.mp4 |
3.85MB |
| 22. Outliers Advice-BhhDoTgYQmI.pt-BR.vtt |
1.64KB |
| 22. Outliers Advice-BhhDoTgYQmI.zh-CN.vtt |
1.29KB |
| 22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.en.vtt |
297B |
| 22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.es-ES.vtt |
314B |
| 22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.ja.vtt |
340B |
| 22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.mp4 |
1.37MB |
| 22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.zh-CN.vtt |
280B |
| 22. Pre-Notebook with GPU.html |
7.79KB |
| 22. Quiz Calculating a p-value.html |
11.77KB |
| 22. Quiz The Standard Library.html |
16.59KB |
| 22. Random Observed Values-KFIt2OC3wCI.ar.vtt |
3.51KB |
| 22. Random Observed Values-KFIt2OC3wCI.en.vtt |
2.74KB |
| 22. Random Observed Values-KFIt2OC3wCI.mp4 |
4.47MB |
| 22. Random Observed Values-KFIt2OC3wCI.pt-BR.vtt |
2.93KB |
| 22. Random Observed Values-KFIt2OC3wCI.zh-CN.vtt |
2.37KB |
| 22. Regularization.html |
6.83KB |
| 22. Regularization-PyFNIcsNma0.en.vtt |
10.87KB |
| 22. Regularization-PyFNIcsNma0.mp4 |
8.76MB |
| 22. Regularization-PyFNIcsNma0.pt-BR.vtt |
10.38KB |
| 22. Robot Sensing 2.html |
10.34KB |
| 22. Robot Sensing 2-aBBmlnd7okQ.ar.vtt |
1.10KB |
| 22. Robot Sensing 2-aBBmlnd7okQ.en.vtt |
952B |
| 22. Robot Sensing 2-aBBmlnd7okQ.es-ES.vtt |
975B |
| 22. Robot Sensing 2-aBBmlnd7okQ.ja.vtt |
846B |
| 22. Robot Sensing 2-aBBmlnd7okQ.mp4 |
2.03MB |
| 22. Robot Sensing 2-aBBmlnd7okQ.pt-BR.vtt |
944B |
| 22. Robot Sensing 2-aBBmlnd7okQ.zh-CN.vtt |
896B |
| 22. Robot Sensing 2-t22oDruXhuo.ar.vtt |
584B |
| 22. Robot Sensing 2-t22oDruXhuo.en.vtt |
428B |
| 22. Robot Sensing 2-t22oDruXhuo.es-ES.vtt |
478B |
| 22. Robot Sensing 2-t22oDruXhuo.ja.vtt |
428B |
| 22. Robot Sensing 2-t22oDruXhuo.mp4 |
2.36MB |
| 22. Robot Sensing 2-t22oDruXhuo.pt-BR.vtt |
473B |
| 22. Robot Sensing 2-t22oDruXhuo.zh-CN.vtt |
369B |
| 22. Searching The Parse Tree Part 2.html |
7.92KB |
| 22. Solution While Loops Practice.html |
9.12KB |
| 22. Video Bootstrapping.html |
9.09KB |
| 22. Video Capital vs. Lower.html |
11.37KB |
| 22. Video Working With Outliers My Advice.html |
10.28KB |
| 23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.ar.vtt |
2.96KB |
| 23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.en.vtt |
2.30KB |
| 23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.mp4 |
4.06MB |
| 23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.pt-BR.vtt |
2.40KB |
| 23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.zh-CN.vtt |
1.98KB |
| 23. Conclusion-pyeojf0NniQ.en.vtt |
558B |
| 23. Conclusion-pyeojf0NniQ.mp4 |
1.57MB |
| 23. Conclusion-pyeojf0NniQ.pt-BR.vtt |
590B |
| 23. Connecting Errors and P-Values.html |
9.82KB |
| 23. Connecting Errors and P-Values-hFNjd5l9CLs.en.vtt |
2.20KB |
| 23. Connecting Errors and P-Values-hFNjd5l9CLs.mp4 |
8.58MB |
| 23. Connecting Errors and P-Values-hFNjd5l9CLs.pt-BR.vtt |
1.97KB |
| 23. Connecting Errors and P-Values-hFNjd5l9CLs.zh-CN.vtt |
1.81KB |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt |
1.62KB |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt |
1.62KB |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4 |
1.49MB |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4 |
1.49MB |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt |
1.42KB |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt |
1.42KB |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt |
1.46KB |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt |
1.46KB |
| 23. Error Function-V5kkHldUlVU.en.vtt |
4.87KB |
| 23. Error Function-V5kkHldUlVU.en.vtt |
4.87KB |
| 23. Error Function-V5kkHldUlVU.mp4 |
4.84MB |
| 23. Error Function-V5kkHldUlVU.mp4 |
4.84MB |
| 23. Error Function-V5kkHldUlVU.pt-BR.vtt |
5.19KB |
| 23. Error Function-V5kkHldUlVU.pt-BR.vtt |
5.19KB |
| 23. Error Function-V5kkHldUlVU.zh-CN.vtt |
4.15KB |
| 23. Error Function-V5kkHldUlVU.zh-CN.vtt |
4.15KB |
| 23. Expense Ratios.html |
7.39KB |
| 23. iVOL Quantamental Investing.html |
8.12KB |
| 23. Kalman Filter Code.html |
8.08KB |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.en.vtt |
2.10KB |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.es-ES.vtt |
2.19KB |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ja.vtt |
1.99KB |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4 |
13.28MB |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ru.vtt |
3.26KB |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.zh-CN.vtt |
1.86KB |
| 23. L1 26 Expense Ratios V2-SHZ0AhJq134.en.vtt |
865B |
| 23. L1 26 Expense Ratios V2-SHZ0AhJq134.mp4 |
1.37MB |
| 23. Logistic Regression.html |
10.08KB |
| 23. Logistic Regression.html |
10.08KB |
| 23. M4 L1B 23 Sentiment Analysis On News And Social Media V1-Jph7h2Yl0yg.en.vtt |
3.32KB |
| 23. M4 L1B 23 Sentiment Analysis On News And Social Media V1-Jph7h2Yl0yg.mp4 |
8.87MB |
| 23. M4 L3a 11 Universe Construction Rule V3-Cr0-k7gUSNg.en.vtt |
2.33KB |
| 23. M4 L3a 11 Universe Construction Rule V3-Cr0-k7gUSNg.mp4 |
5.40MB |
| 23. M4 L3b 19 IVol Quantamental Investing V2-K6Ud6gams-U.en.vtt |
2.42KB |
| 23. M4 L3b 19 IVol Quantamental Investing V2-K6Ud6gams-U.mp4 |
5.70MB |
| 23. M5 SC 14 Searching The Parse Tree Part 3 V1-PR--1dLqcTM.mp4 |
13.06MB |
| 23. Notebook Workspace w GPU.html |
7.91KB |
| 23. Outro.html |
6.80KB |
| 23. Quiz Introduction to Notation.html |
11.69KB |
| 23. Quiz Lists and Membership Operators.html |
14.38KB |
| 23. Quiz Shape and Outliers (Comparing Distributions).html |
15.61KB |
| 23. Quiz While Loops.html |
12.93KB |
| 23. Robot Sensing 3.html |
10.44KB |
| 23. Robot Sensing 3--6l4_oprDOk.ar.vtt |
395B |
| 23. Robot Sensing 3--6l4_oprDOk.en.vtt |
322B |
| 23. Robot Sensing 3--6l4_oprDOk.es-ES.vtt |
329B |
| 23. Robot Sensing 3--6l4_oprDOk.ja.vtt |
327B |
| 23. Robot Sensing 3--6l4_oprDOk.mp4 |
1.48MB |
| 23. Robot Sensing 3--6l4_oprDOk.pt-BR.vtt |
317B |
| 23. Robot Sensing 3--6l4_oprDOk.th.vtt |
480B |
| 23. Robot Sensing 3--6l4_oprDOk.zh-CN.vtt |
282B |
| 23. Robot Sensing 3-m1LSU9SPZ2k.ar.vtt |
783B |
| 23. Robot Sensing 3-m1LSU9SPZ2k.en.vtt |
663B |
| 23. Robot Sensing 3-m1LSU9SPZ2k.es-ES.vtt |
679B |
| 23. Robot Sensing 3-m1LSU9SPZ2k.ja.vtt |
657B |
| 23. Robot Sensing 3-m1LSU9SPZ2k.mp4 |
5.55MB |
| 23. Robot Sensing 3-m1LSU9SPZ2k.pt-BR.vtt |
687B |
| 23. Robot Sensing 3-m1LSU9SPZ2k.zh-CN.vtt |
622B |
| 23. Searching The Parse Tree Part 3.html |
7.92KB |
| 23. Sentiment Analysis on News and Social Media.html |
7.46KB |
| 23. Solution The Standard Library.html |
8.06KB |
| 23. Universe construction rule.html |
10.92KB |
| 23. Video Bootstrapping The Central Limit Theorem.html |
10.10KB |
| 24. Conclusions in Hypothesis Testing.html |
9.68KB |
| 24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.en.vtt |
1.97KB |
| 24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.mp4 |
7.48MB |
| 24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.pt-BR.vtt |
1.99KB |
| 24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.zh-CN.vtt |
1.75KB |
| 24. Exercise Get Headers and Paragraphs.html |
7.68KB |
| 24. Gradient Descent.html |
16.39KB |
| 24. Gradient Descent.html |
16.39KB |
| 24. Gradient Descent-rhVIF-nigrY.en.vtt |
3.85KB |
| 24. Gradient Descent-rhVIF-nigrY.en.vtt |
3.85KB |
| 24. Gradient Descent-rhVIF-nigrY.mp4 |
3.76MB |
| 24. Gradient Descent-rhVIF-nigrY.mp4 |
3.76MB |
| 24. Gradient Descent-rhVIF-nigrY.pt-BR.vtt |
3.98KB |
| 24. Gradient Descent-rhVIF-nigrY.pt-BR.vtt |
3.98KB |
| 24. iVol Joint Factor Volatility Enhanced Price Earnings Ratio.html |
8.23KB |
| 24. L1 27 OpenEnd Mutual Funds V2-T4_mmjEKUAo.en.vtt |
2.30KB |
| 24. L1 27 OpenEnd Mutual Funds V2-T4_mmjEKUAo.mp4 |
5.60MB |
| 24. M4 L1B 24 NLP Used To Enhance Fundamental Analysis V1-9zMWuZ9j7rI.en.vtt |
5.36KB |
| 24. M4 L1B 24 NLP Used To Enhance Fundamental Analysis V1-9zMWuZ9j7rI.mp4 |
15.06MB |
| 24. M4 L3a 12 Return Denominator Leverage And Factor Returns V3-QxHrP5LoXAI.en.vtt |
4.18KB |
| 24. M4 L3a 12 Return Denominator Leverage And Factor Returns V3-QxHrP5LoXAI.mp4 |
11.73MB |
| 24. M4 L3b 20 IVol Volatility Enhanced Price Earnings Ratio V2-x-1nqTEPGcA.en.vtt |
2.78KB |
| 24. M4 L3b 20 IVol Volatility Enhanced Price Earnings Ratio V2-x-1nqTEPGcA.mp4 |
7.46MB |
| 24. NLP used to enhance Fundamental Analysis.html |
8.09KB |
| 24. Notebook + Quiz Bootstrapping.html |
12.13KB |
| 24. Notebook 1D Kalman Filter.html |
8.01KB |
| 24. Open End Mutual Funds.html |
7.64KB |
| 24. PyTorch - Part 8-S9F7MtJ5jls.en.vtt |
16.82KB |
| 24. PyTorch - Part 8-S9F7MtJ5jls.mp4 |
29.51MB |
| 24. PyTorch - Part 8-S9F7MtJ5jls.pt-BR.vtt |
16.61KB |
| 24. PyTorch - Part 8-S9F7MtJ5jls.zh-CN.vtt |
13.19KB |
| 24. Quiz Shape and Outliers (Visuals).html |
14.60KB |
| 24. Return Denominator, Leverage, and Factor Returns.html |
11.02KB |
| 24. Robot Sensing 4.html |
10.15KB |
| 24. Robot Sensing 4-d_fbDqAGVdE.ar.vtt |
252B |
| 24. Robot Sensing 4-d_fbDqAGVdE.en.vtt |
214B |
| 24. Robot Sensing 4-d_fbDqAGVdE.es-ES.vtt |
221B |
| 24. Robot Sensing 4-d_fbDqAGVdE.ja.vtt |
198B |
| 24. Robot Sensing 4-d_fbDqAGVdE.mp4 |
1.06MB |
| 24. Robot Sensing 4-d_fbDqAGVdE.pt-BR.vtt |
202B |
| 24. Robot Sensing 4-d_fbDqAGVdE.zh-CN.vtt |
207B |
| 24. Robot Sensing 4-vasdN2Gol0M.ar.vtt |
2.21KB |
| 24. Robot Sensing 4-vasdN2Gol0M.en.vtt |
1.67KB |
| 24. Robot Sensing 4-vasdN2Gol0M.es-ES.vtt |
1.69KB |
| 24. Robot Sensing 4-vasdN2Gol0M.ja.vtt |
1.52KB |
| 24. Robot Sensing 4-vasdN2Gol0M.mp4 |
9.87MB |
| 24. Robot Sensing 4-vasdN2Gol0M.pt-BR.vtt |
1.58KB |
| 24. Robot Sensing 4-vasdN2Gol0M.th.vtt |
2.98KB |
| 24. Robot Sensing 4-vasdN2Gol0M.zh-CN.vtt |
1.56KB |
| 24. Solution List and Membership Operators.html |
10.42KB |
| 24. Solution While Loops Quiz.html |
9.95KB |
| 24. Techniques for Importing Modules.html |
10.97KB |
| 24. Techniques For Importing Modules-jPGyFgcIvsM.ar.vtt |
6.13KB |
| 24. Techniques For Importing Modules-jPGyFgcIvsM.en.vtt |
4.34KB |
| 24. Techniques For Importing Modules-jPGyFgcIvsM.mp4 |
5.33MB |
| 24. Techniques For Importing Modules-jPGyFgcIvsM.pt-BR.vtt |
4.84KB |
| 24. Techniques For Importing Modules-jPGyFgcIvsM.zh-CN.vtt |
3.93KB |
| 24. Techniques For Importing Modules Part II-aASigWQ_XU0.ar.vtt |
2.86KB |
| 24. Techniques For Importing Modules Part II-aASigWQ_XU0.en.vtt |
2.03KB |
| 24. Techniques For Importing Modules Part II-aASigWQ_XU0.mp4 |
5.00MB |
| 24. Techniques For Importing Modules Part II-aASigWQ_XU0.pt-BR.vtt |
2.14KB |
| 24. Techniques For Importing Modules Part II-aASigWQ_XU0.zh-CN.vtt |
1.74KB |
| 24. There Must Be A Better Way-oBp8YX2AgJw.ar.vtt |
2.26KB |
| 24. There Must Be A Better Way-oBp8YX2AgJw.en.vtt |
1.68KB |
| 24. There Must Be A Better Way-oBp8YX2AgJw.mp4 |
3.23MB |
| 24. There Must Be A Better Way-oBp8YX2AgJw.pt-BR.vtt |
1.61KB |
| 24. There Must Be A Better Way-oBp8YX2AgJw.zh-CN.vtt |
1.45KB |
| 24. Transfer Learning.html |
7.48KB |
| 24. Video Better Way.html |
9.14KB |
| 25. Aggregations-ADx1x2ljFB4.ar.vtt |
3.51KB |
| 25. Aggregations-ADx1x2ljFB4.en.vtt |
2.90KB |
| 25. Aggregations-ADx1x2ljFB4.mp4 |
5.11MB |
| 25. Aggregations-ADx1x2ljFB4.pt-BR.vtt |
2.80KB |
| 25. Aggregations-ADx1x2ljFB4.zh-CN.vtt |
2.51KB |
| 25. Answer 1D Kalman Filter.html |
8.00KB |
| 25. Background Of Bootstrapping-6Vg5kGoDl7k.ar.vtt |
1.87KB |
| 25. Background Of Bootstrapping-6Vg5kGoDl7k.en.vtt |
1.43KB |
| 25. Background Of Bootstrapping-6Vg5kGoDl7k.mp4 |
5.39MB |
| 25. Background Of Bootstrapping-6Vg5kGoDl7k.pt-BR.vtt |
1.40KB |
| 25. Background Of Bootstrapping-6Vg5kGoDl7k.zh-CN.vtt |
1.23KB |
| 25. Break, Continue.html |
11.83KB |
| 25. Break and Continue-F6qJAv9ts9Y.ar.vtt |
5.88KB |
| 25. Break and Continue-F6qJAv9ts9Y.en.vtt |
3.95KB |
| 25. Break and Continue-F6qJAv9ts9Y.mp4 |
13.22MB |
| 25. Break and Continue-F6qJAv9ts9Y.pt-BR.vtt |
4.43KB |
| 25. Break and Continue-F6qJAv9ts9Y.zh-CN.vtt |
3.64KB |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt |
2.55KB |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt |
2.55KB |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.mp4 |
1.98MB |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.mp4 |
1.98MB |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.pt-BR.vtt |
2.64KB |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.pt-BR.vtt |
2.64KB |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.zh-CN.vtt |
2.21KB |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.zh-CN.vtt |
2.21KB |
| 25. Handling Withdrawals.html |
9.49KB |
| 25. iVol Generalizing the volatility Factor.html |
8.18KB |
| 25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.en.vtt |
5.76KB |
| 25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.es-ES.vtt |
6.15KB |
| 25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.ja.vtt |
4.87KB |
| 25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 |
33.73MB |
| 25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.zh-CN.vtt |
5.30KB |
| 25. L1 28 Open End Mutual Funds Handling Withdrawals V2-46NGAQHY-Mc.en.vtt |
816B |
| 25. L1 28 Open End Mutual Funds Handling Withdrawals V2-46NGAQHY-Mc.mp4 |
1.55MB |
| 25. L1 29 Open End Funds Holding Cash For Withdrawals V3-RU8-ZRBJ2Cw.en.vtt |
1.87KB |
| 25. L1 29 Open End Funds Holding Cash For Withdrawals V3-RU8-ZRBJ2Cw.mp4 |
6.50MB |
| 25. L2 05 Lists Methods V1-WXkPm4rv6ng.en.vtt |
2.16KB |
| 25. L2 05 Lists Methods V1-WXkPm4rv6ng.mp4 |
5.28MB |
| 25. L2 05 Lists Methods V1-WXkPm4rv6ng.pt-BR.vtt |
2.28KB |
| 25. L2 05 Lists Methods V1-WXkPm4rv6ng.zh-CN.vtt |
1.90KB |
| 25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.en.vtt |
4.63KB |
| 25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.mp4 |
13.33MB |
| 25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.pt-BR.vtt |
4.45KB |
| 25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.zh-CN.vtt |
3.84KB |
| 25. List Methods.html |
12.97KB |
| 25. Logistic Regression Algorithm.html |
8.48KB |
| 25. Logistic Regression Algorithm.html |
8.48KB |
| 25. M4 L1B 25 Other Alternative Data V1-hMw3AuPVSSs.en.vtt |
5.26KB |
| 25. M4 L1B 25 Other Alternative Data V1-hMw3AuPVSSs.mp4 |
15.49MB |
| 25. M4 L3b 21 IVol Generalizing The Volatility Factor V2-Lt1JPjKHPmk.en.vtt |
1.11KB |
| 25. M4 L3b 21 IVol Generalizing The Volatility Factor V2-Lt1JPjKHPmk.mp4 |
2.83MB |
| 25. Making dollar neutral and leverage ratio equal to one.html |
11.85KB |
| 25. Other Alternative Data.html |
8.05KB |
| 25. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.en.vtt |
13.49KB |
| 25. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.mp4 |
17.49MB |
| 25. Quiz Connecting Errors and P-Values.html |
15.22KB |
| 25. Quiz Shape and Outliers (Final Quiz).html |
15.50KB |
| 25. Quiz Techniques for Importing Modules.html |
10.60KB |
| 25. Robot Sensing 5.html |
10.27KB |
| 25. Robot Sensing 5-PGG9agooCvw.ar.vtt |
544B |
| 25. Robot Sensing 5-PGG9agooCvw.en.vtt |
414B |
| 25. Robot Sensing 5-PGG9agooCvw.es-ES.vtt |
451B |
| 25. Robot Sensing 5-PGG9agooCvw.ja.vtt |
395B |
| 25. Robot Sensing 5-PGG9agooCvw.mp4 |
1.74MB |
| 25. Robot Sensing 5-PGG9agooCvw.pt-BR.vtt |
410B |
| 25. Robot Sensing 5-PGG9agooCvw.th.vtt |
667B |
| 25. Robot Sensing 5-PGG9agooCvw.zh-CN.vtt |
420B |
| 25. Robot Sensing 5-tIrqdYTT_9Q.ar.vtt |
118B |
| 25. Robot Sensing 5-tIrqdYTT_9Q.en.vtt |
97B |
| 25. Robot Sensing 5-tIrqdYTT_9Q.es-ES.vtt |
108B |
| 25. Robot Sensing 5-tIrqdYTT_9Q.ja.vtt |
123B |
| 25. Robot Sensing 5-tIrqdYTT_9Q.mp4 |
506.06KB |
| 25. Robot Sensing 5-tIrqdYTT_9Q.pt-BR.vtt |
106B |
| 25. Robot Sensing 5-tIrqdYTT_9Q.th.vtt |
137B |
| 25. Robot Sensing 5-tIrqdYTT_9Q.zh-CN.vtt |
110B |
| 25. The Requests Library.html |
7.65KB |
| 25. Transfer Learning Solution.html |
7.30KB |
| 25. Video Summation.html |
11.51KB |
| 25. Video The Background of Bootstrapping.html |
9.21KB |
| 26. Close End Mutual Funds.html |
7.69KB |
| 26. Factor returns coding exercise.html |
11.52KB |
| 26. Kalman Prediction.html |
7.52KB |
| 26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.en.vtt |
3.23KB |
| 26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.mp4 |
2.53MB |
| 26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.zh-CN.vtt |
2.69KB |
| 26. L1 30 ClosedEnd Mutual Funds V3-y2VhtrF6vdc.en.vtt |
2.25KB |
| 26. L1 30 ClosedEnd Mutual Funds V3-y2VhtrF6vdc.mp4 |
6.39MB |
| 26. M4 L1B 26 Summary V1-yuLQA24Thms.en.vtt |
1.01KB |
| 26. M4 L1B 26 Summary V1-yuLQA24Thms.mp4 |
3.44MB |
| 26. M4 L3b 22 Summary V2-Tq8yVPEHxXs.en.vtt |
1.38KB |
| 26. M4 L3b 22 Summary V2-Tq8yVPEHxXs.mp4 |
3.67MB |
| 26. Notation for the Mean-3EF15AoRxyM.ar.vtt |
2.81KB |
| 26. Notation for the Mean-3EF15AoRxyM.en.vtt |
2.05KB |
| 26. Notation for the Mean-3EF15AoRxyM.mp4 |
3.03MB |
| 26. Notation for the Mean-3EF15AoRxyM.pt-BR.vtt |
2.26KB |
| 26. Notation for the Mean-3EF15AoRxyM.zh-CN.vtt |
1.82KB |
| 26. Notebook + Quiz Drawing Conclusions.html |
14.59KB |
| 26. Pre-Notebook Gradient Descent.html |
10.44KB |
| 26. Pre-Notebook Gradient Descent.html |
10.44KB |
| 26. Quiz Break, Continue.html |
9.80KB |
| 26. Quiz List Methods.html |
14.18KB |
| 26. Robot Sensing 6.html |
10.27KB |
| 26. Robot Sensing 6-hXyXlk0gYzk.ar.vtt |
456B |
| 26. Robot Sensing 6-hXyXlk0gYzk.en.vtt |
343B |
| 26. Robot Sensing 6-hXyXlk0gYzk.es-ES.vtt |
348B |
| 26. Robot Sensing 6-hXyXlk0gYzk.ja.vtt |
326B |
| 26. Robot Sensing 6-hXyXlk0gYzk.mp4 |
1.58MB |
| 26. Robot Sensing 6-hXyXlk0gYzk.pt-BR.vtt |
329B |
| 26. Robot Sensing 6-hXyXlk0gYzk.th.vtt |
554B |
| 26. Robot Sensing 6-hXyXlk0gYzk.zh-CN.vtt |
331B |
| 26. Robot Sensing 6-Se-ddM2Wdac.ar.vtt |
175B |
| 26. Robot Sensing 6-Se-ddM2Wdac.en.vtt |
147B |
| 26. Robot Sensing 6-Se-ddM2Wdac.es-ES.vtt |
157B |
| 26. Robot Sensing 6-Se-ddM2Wdac.ja.vtt |
176B |
| 26. Robot Sensing 6-Se-ddM2Wdac.mp4 |
484.71KB |
| 26. Robot Sensing 6-Se-ddM2Wdac.pt-BR.vtt |
157B |
| 26. Robot Sensing 6-Se-ddM2Wdac.th.vtt |
240B |
| 26. Robot Sensing 6-Se-ddM2Wdac.zh-CN.vtt |
149B |
| 26. Summary.html |
7.28KB |
| 26. Summary.html |
8.02KB |
| 26. Text Descriptive Statistics Summary .html |
12.54KB |
| 26. Third-Party Libraries.html |
12.91KB |
| 26. Third Party Libraries And Package Managers-epOze9gC6T4.ar.vtt |
4.42KB |
| 26. Third Party Libraries And Package Managers-epOze9gC6T4.en.vtt |
3.49KB |
| 26. Third Party Libraries And Package Managers-epOze9gC6T4.mp4 |
7.36MB |
| 26. Third Party Libraries And Package Managers-epOze9gC6T4.pt-BR.vtt |
3.73KB |
| 26. Third Party Libraries And Package Managers-epOze9gC6T4.zh-CN.vtt |
3.10KB |
| 26. Tips, Tricks, and Other Notes.html |
8.54KB |
| 26. Video Notation for the Mean.html |
9.68KB |
| 26. Video Why are Sampling Distributions Important.html |
8.81KB |
| 26. Why Are Sampling Distributions Important-aDFDOCJKoH0.ar.vtt |
1.39KB |
| 26. Why Are Sampling Distributions Important-aDFDOCJKoH0.en.vtt |
1.09KB |
| 26. Why Are Sampling Distributions Important-aDFDOCJKoH0.mp4 |
4.09MB |
| 26. Why Are Sampling Distributions Important-aDFDOCJKoH0.pt-BR.vtt |
1.10KB |
| 26. Why Are Sampling Distributions Important-aDFDOCJKoH0.zh-CN.vtt |
927B |
| 27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.ar.vtt |
4.74KB |
| 27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.en.vtt |
3.22KB |
| 27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.mp4 |
6.17MB |
| 27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.pt-BR.vtt |
3.51KB |
| 27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.zh-CN.vtt |
2.74KB |
| 27. Experimenting with an Interpreter.html |
10.64KB |
| 27. Experimenting With An Interpreter-hspPtnQwMPg.ar.vtt |
5.13KB |
| 27. Experimenting With An Interpreter-hspPtnQwMPg.en.vtt |
3.80KB |
| 27. Experimenting With An Interpreter-hspPtnQwMPg.mp4 |
5.58MB |
| 27. Experimenting With An Interpreter-hspPtnQwMPg.pt-BR.vtt |
4.15KB |
| 27. Experimenting With An Interpreter-hspPtnQwMPg.zh-CN.vtt |
3.29KB |
| 27. Interlude.html |
7.96KB |
| 27. L1 31 Transaction Costs V2-JGYAv7tQpyY.en.vtt |
2.48KB |
| 27. L1 31 Transaction Costs V2-JGYAv7tQpyY.mp4 |
5.79MB |
| 27. L2 04 Tuples V3-33xN-AbTMoc.en.vtt |
2.34KB |
| 27. L2 04 Tuples V3-33xN-AbTMoc.mp4 |
3.96MB |
| 27. L2 04 Tuples V3-33xN-AbTMoc.pt-BR.vtt |
2.74KB |
| 27. L2 04 Tuples V3-33xN-AbTMoc.zh-CN.vtt |
2.10KB |
| 27. M4 L3a 13 Sharpe Ratio V4-W8nfg1fkloA.en.vtt |
1.73KB |
| 27. M4 L3a 13 Sharpe Ratio V4-W8nfg1fkloA.mp4 |
4.58MB |
| 27. MV When Those Around You Dont Believe In You V1--vKspTOIXY0.mp4 |
5.69MB |
| 27. Next Motion Models and State.html |
8.04KB |
| 27. Notebook Gradient Descent.html |
8.84KB |
| 27. Notebook Gradient Descent.html |
8.84KB |
| 27. Other Things to Consider - What if Our Sample is Large.html |
10.96KB |
| 27. Quiz + Text Recap Next Steps.html |
15.08KB |
| 27. Quiz Summation.html |
11.46KB |
| 27. Robot Sensing 7.html |
10.27KB |
| 27. Robot Sensing 7-clFL503NPyY.ar.vtt |
126B |
| 27. Robot Sensing 7-clFL503NPyY.en.vtt |
109B |
| 27. Robot Sensing 7-clFL503NPyY.es-ES.vtt |
118B |
| 27. Robot Sensing 7-clFL503NPyY.ja.vtt |
113B |
| 27. Robot Sensing 7-clFL503NPyY.mp4 |
218.29KB |
| 27. Robot Sensing 7-clFL503NPyY.pt-BR.vtt |
108B |
| 27. Robot Sensing 7-clFL503NPyY.th.vtt |
177B |
| 27. Robot Sensing 7-clFL503NPyY.zh-CN.vtt |
108B |
| 27. Robot Sensing 7-goEMc0w58xM.ar.vtt |
211B |
| 27. Robot Sensing 7-goEMc0w58xM.en.vtt |
155B |
| 27. Robot Sensing 7-goEMc0w58xM.es-ES.vtt |
174B |
| 27. Robot Sensing 7-goEMc0w58xM.ja.vtt |
175B |
| 27. Robot Sensing 7-goEMc0w58xM.mp4 |
473.30KB |
| 27. Robot Sensing 7-goEMc0w58xM.pt-BR.vtt |
169B |
| 27. Robot Sensing 7-goEMc0w58xM.th.vtt |
244B |
| 27. Robot Sensing 7-goEMc0w58xM.zh-CN.vtt |
158B |
| 27. Sharpe Ratio.html |
10.85KB |
| 27. Solution Break, Continue.html |
8.82KB |
| 27. Transaction Costs.html |
8.50KB |
| 27. Tuples.html |
10.77KB |
| 27. Video Descriptive vs. Inferential Statistics.html |
10.09KB |
| 27. What If Our Sample Is Large-WoTCeSTL1eM.en.vtt |
3.16KB |
| 27. What If Our Sample Is Large-WoTCeSTL1eM.mp4 |
11.95MB |
| 27. What If Our Sample Is Large-WoTCeSTL1eM.pt-BR.vtt |
3.02KB |
| 27. What If Our Sample Is Large-WoTCeSTL1eM.zh-CN.vtt |
2.76KB |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt |
4.27KB |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt |
4.27KB |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4 |
3.20MB |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4 |
3.20MB |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt |
4.24KB |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt |
4.24KB |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt |
3.60KB |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt |
3.60KB |
| 28. L1 32 Summary V1-Pt2sVftdwS0.en.vtt |
1.75KB |
| 28. L1 32 Summary V1-Pt2sVftdwS0.mp4 |
4.74MB |
| 28. Multiple Testing Corrections-DuMgeHrkIF0.en.vtt |
2.21KB |
| 28. Multiple Testing Corrections-DuMgeHrkIF0.mp4 |
7.33MB |
| 28. Multiple Testing Corrections-DuMgeHrkIF0.pt-BR.vtt |
2.21KB |
| 28. Multiple Testing Corrections-DuMgeHrkIF0.zh-CN.vtt |
1.90KB |
| 28. Online Resources.html |
13.94KB |
| 28. Other Things to Consider - What if Test More Than Once.html |
10.06KB |
| 28. Perceptron vs Gradient Descent.html |
8.79KB |
| 28. Perceptron vs Gradient Descent.html |
8.79KB |
| 28. Quiz Descriptive vs. Inferential (Udacity Students).html |
11.30KB |
| 28. Quiz Notation for the Mean.html |
13.97KB |
| 28. Quiz Tuples.html |
13.69KB |
| 28. Robot Sensing 8.html |
10.85KB |
| 28. Robot Sensing 8-hyAQ28MYmc4.ar.vtt |
315B |
| 28. Robot Sensing 8-hyAQ28MYmc4.en.vtt |
248B |
| 28. Robot Sensing 8-hyAQ28MYmc4.es-ES.vtt |
243B |
| 28. Robot Sensing 8-hyAQ28MYmc4.ja.vtt |
200B |
| 28. Robot Sensing 8-hyAQ28MYmc4.mp4 |
978.72KB |
| 28. Robot Sensing 8-hyAQ28MYmc4.pt-BR.vtt |
249B |
| 28. Robot Sensing 8-hyAQ28MYmc4.th.vtt |
393B |
| 28. Robot Sensing 8-hyAQ28MYmc4.zh-CN.vtt |
226B |
| 28. Robot Sensing 8-lmuonrQp_lM.ar.vtt |
626B |
| 28. Robot Sensing 8-lmuonrQp_lM.en.vtt |
524B |
| 28. Robot Sensing 8-lmuonrQp_lM.en-GB.vtt |
804B |
| 28. Robot Sensing 8-lmuonrQp_lM.es-ES.vtt |
531B |
| 28. Robot Sensing 8-lmuonrQp_lM.ja.vtt |
541B |
| 28. Robot Sensing 8-lmuonrQp_lM.mp4 |
3.35MB |
| 28. Robot Sensing 8-lmuonrQp_lM.pt-BR.vtt |
497B |
| 28. Robot Sensing 8-lmuonrQp_lM.zh-CN.vtt |
492B |
| 28. Sharpe Ratio Coding Exercise.html |
11.51KB |
| 28. Summary.html |
7.09KB |
| 28. Zip and Enumerate.html |
10.67KB |
| 28. Zip and Enumerate-bSJPzVArE7M.ar.vtt |
3.58KB |
| 28. Zip and Enumerate-bSJPzVArE7M.en.vtt |
2.54KB |
| 28. Zip and Enumerate-bSJPzVArE7M.mp4 |
15.71MB |
| 28. Zip and Enumerate-bSJPzVArE7M.pt-BR.vtt |
2.63KB |
| 28. Zip and Enumerate-bSJPzVArE7M.zh-CN.vtt |
2.35KB |
| 29. Conclusion.html |
7.96KB |
| 29. Conclusion-rEMrswkLvh8.ar.vtt |
652B |
| 29. Conclusion-rEMrswkLvh8.en.vtt |
473B |
| 29. Conclusion-rEMrswkLvh8.mp4 |
2.84MB |
| 29. Conclusion-rEMrswkLvh8.pt-BR.vtt |
508B |
| 29. Conclusion-rEMrswkLvh8.zh-CN.vtt |
456B |
| 29. Continuous Perceptrons.html |
8.45KB |
| 29. Continuous Perceptrons.html |
8.45KB |
| 29. Continuous Perceptrons-07-JJ-aGEfM.en.vtt |
1.33KB |
| 29. Continuous Perceptrons-07-JJ-aGEfM.en.vtt |
1.33KB |
| 29. Continuous Perceptrons-07-JJ-aGEfM.mp4 |
1.13MB |
| 29. Continuous Perceptrons-07-JJ-aGEfM.mp4 |
1.13MB |
| 29. Continuous Perceptrons-07-JJ-aGEfM.pt-BR.vtt |
1.31KB |
| 29. Continuous Perceptrons-07-JJ-aGEfM.pt-BR.vtt |
1.31KB |
| 29. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt |
1.15KB |
| 29. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt |
1.15KB |
| 29. Generalizing.html |
8.52KB |
| 29. Generalizing-SdMk3aROgSc.ar.vtt |
1.73KB |
| 29. Generalizing-SdMk3aROgSc.en.vtt |
1.24KB |
| 29. Generalizing-SdMk3aROgSc.es-ES.vtt |
1.32KB |
| 29. Generalizing-SdMk3aROgSc.ja.vtt |
1.22KB |
| 29. Generalizing-SdMk3aROgSc.mp4 |
6.27MB |
| 29. Generalizing-SdMk3aROgSc.pt-BR.vtt |
1.33KB |
| 29. Generalizing-SdMk3aROgSc.zh-CN.vtt |
1.17KB |
| 29. Halfway There!.html |
11.18KB |
| 29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.en.vtt |
1.70KB |
| 29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.mp4 |
6.98MB |
| 29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.pt-BR.vtt |
1.87KB |
| 29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.zh-CN.vtt |
1.44KB |
| 29. L2 03 Sets V2-eIHNFgTFfnA.en.vtt |
2.25KB |
| 29. L2 03 Sets V2-eIHNFgTFfnA.mp4 |
5.92MB |
| 29. L2 03 Sets V2-eIHNFgTFfnA.pt-BR.vtt |
2.60KB |
| 29. L2 03 Sets V2-eIHNFgTFfnA.zh-CN.vtt |
2.14KB |
| 29. Other Things to Consider - How Do CIs and HTs Compare.html |
9.81KB |
| 29. Quiz Descriptive vs. Inferential (Bagels).html |
17.39KB |
| 29. Quiz Zip and Enumerate.html |
14.26KB |
| 29. Sets.html |
10.56KB |
| 29. Text Summary on Notation.html |
10.65KB |
| 2956218691.gif |
229.48KB |
| 30. M4 L3A 141 Ranked Information Coefficient Part 1 V4-_huNulOIuB0.en.vtt |
3.48KB |
| 30. M4 L3A 141 Ranked Information Coefficient Part 1 V4-_huNulOIuB0.mp4 |
11.32MB |
| 30. Non-linear Data.html |
8.40KB |
| 30. Non-linear Data.html |
8.40KB |
| 30. Non-Linear Data-F7ZiE8PQiSc.en.vtt |
633B |
| 30. Non-Linear Data-F7ZiE8PQiSc.en.vtt |
633B |
| 30. Non-Linear Data-F7ZiE8PQiSc.mp4 |
2.14MB |
| 30. Non-Linear Data-F7ZiE8PQiSc.mp4 |
2.14MB |
| 30. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt |
600B |
| 30. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt |
600B |
| 30. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt |
624B |
| 30. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt |
624B |
| 30. Notebook + Quiz Other Things to Consider.html |
20.94KB |
| 30. Quiz Sets.html |
11.97KB |
| 30. Ranked Information Coefficient (Rank IC) Part 1.html |
11.00KB |
| 30. Sebastian At Home.html |
10.08KB |
| 30. Sebastian At Home-R4zq6mPPMxs.ar.vtt |
1.89KB |
| 30. Sebastian At Home-R4zq6mPPMxs.en.vtt |
1.44KB |
| 30. Sebastian At Home-R4zq6mPPMxs.es-ES.vtt |
1.44KB |
| 30. Sebastian At Home-R4zq6mPPMxs.ja.vtt |
1.46KB |
| 30. Sebastian At Home-R4zq6mPPMxs.mp4 |
11.04MB |
| 30. Sebastian At Home-R4zq6mPPMxs.pt-BR.vtt |
1.73KB |
| 30. Sebastian At Home-R4zq6mPPMxs.zh-CN.vtt |
1.22KB |
| 30. Sebastian At Home-TtmQ7YCw_1Y.ar.vtt |
1.51KB |
| 30. Sebastian At Home-TtmQ7YCw_1Y.en.vtt |
1.04KB |
| 30. Sebastian At Home-TtmQ7YCw_1Y.es-ES.vtt |
1.14KB |
| 30. Sebastian At Home-TtmQ7YCw_1Y.ja.vtt |
1.13KB |
| 30. Sebastian At Home-TtmQ7YCw_1Y.mp4 |
7.74MB |
| 30. Sebastian At Home-TtmQ7YCw_1Y.pt-BR.vtt |
1.30KB |
| 30. Sebastian At Home-TtmQ7YCw_1Y.zh-CN.vtt |
930B |
| 30. Solution Zip and Enumerate.html |
10.97KB |
| 30. Text Descriptive vs. Inferential Summary.html |
10.69KB |
| 3004978616.gif |
164.57KB |
| 3013998667.gif |
404.61KB |
| 3034378634.gif |
173.12KB |
| 3040398570.gif |
148.74KB |
| 3050028596.gif |
192.14KB |
| 3056738546.gif |
183.68KB |
| 3058428551.gif |
124.68KB |
| 3081768538.gif |
202.88KB |
| 31. Descriptive Statistics Summary-Fe7Gta2SfLA.ar.vtt |
679B |
| 31. Descriptive Statistics Summary-Fe7Gta2SfLA.en.vtt |
523B |
| 31. Descriptive Statistics Summary-Fe7Gta2SfLA.mp4 |
1.88MB |
| 31. Descriptive Statistics Summary-Fe7Gta2SfLA.pt-BR.vtt |
503B |
| 31. Descriptive Statistics Summary-Fe7Gta2SfLA.zh-CN.vtt |
442B |
| 31. Dictionaries and Identity Operators.html |
11.71KB |
| 31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.en.vtt |
3.39KB |
| 31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.mp4 |
10.70MB |
| 31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.pt-BR.vtt |
3.76KB |
| 31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.zh-CN.vtt |
2.76KB |
| 31. Learning Objectives - Conditional Probability.html |
17.90KB |
| 31. List Comprehensions.html |
10.54KB |
| 31. List Comprehensions-6qxo-NV9v_s.ar.vtt |
4.13KB |
| 31. List Comprehensions-6qxo-NV9v_s.en.vtt |
2.93KB |
| 31. List Comprehensions-6qxo-NV9v_s.mp4 |
17.37MB |
| 31. List Comprehensions-6qxo-NV9v_s.pt-BR.vtt |
3.53KB |
| 31. List Comprehensions-6qxo-NV9v_s.zh-CN.vtt |
2.88KB |
| 31. M4 L3A 142 Ranked Information Coefficient Part 2 V5-WKGmog0Nzgo.en.vtt |
3.37KB |
| 31. M4 L3A 142 Ranked Information Coefficient Part 2 V5-WKGmog0Nzgo.mp4 |
8.07MB |
| 31. Non-Linear Models.html |
8.41KB |
| 31. Non-Linear Models.html |
8.41KB |
| 31. Non-Linear Models-HWuBKCZsCo8.en.vtt |
1.30KB |
| 31. Non-Linear Models-HWuBKCZsCo8.en.vtt |
1.30KB |
| 31. Non-Linear Models-HWuBKCZsCo8.mp4 |
1.13MB |
| 31. Non-Linear Models-HWuBKCZsCo8.mp4 |
1.13MB |
| 31. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt |
1.39KB |
| 31. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt |
1.39KB |
| 31. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt |
1.12KB |
| 31. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt |
1.12KB |
| 31. Notebook + Quiz Other Things to Consider.html |
17.85KB |
| 31. Ranked Information Coefficient (Rank IC) Part 2.html |
11.00KB |
| 31. Video Summary.html |
9.04KB |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt |
3.02KB |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt |
3.02KB |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 |
2.83MB |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 |
2.83MB |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt |
3.34KB |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt |
3.34KB |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt |
2.76KB |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt |
2.76KB |
| 32. Combinando modelos-Boy3zHVrWB4.en.vtt |
5.29KB |
| 32. Combinando modelos-Boy3zHVrWB4.en.vtt |
5.29KB |
| 32. Combinando modelos-Boy3zHVrWB4.mp4 |
4.73MB |
| 32. Combinando modelos-Boy3zHVrWB4.mp4 |
4.73MB |
| 32. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt |
5.29KB |
| 32. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt |
5.29KB |
| 32. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt |
4.61KB |
| 32. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt |
4.61KB |
| 32. Hypothesis Testing Conclusion.html |
8.87KB |
| 32. Hypothesis Testing Conclusion-nQFchD4XPPs.en.vtt |
1.06KB |
| 32. Hypothesis Testing Conclusion-nQFchD4XPPs.mp4 |
4.36MB |
| 32. Hypothesis Testing Conclusion-nQFchD4XPPs.pt-BR.vtt |
1.11KB |
| 32. Hypothesis Testing Conclusion-nQFchD4XPPs.zh-CN.vtt |
890B |
| 32. Layers-pg99FkXYK0M.en.vtt |
3.40KB |
| 32. Layers-pg99FkXYK0M.en.vtt |
3.40KB |
| 32. Layers-pg99FkXYK0M.mp4 |
3.11MB |
| 32. Layers-pg99FkXYK0M.mp4 |
3.11MB |
| 32. Layers-pg99FkXYK0M.pt-BR.vtt |
3.29KB |
| 32. Layers-pg99FkXYK0M.pt-BR.vtt |
3.29KB |
| 32. Layers-pg99FkXYK0M.zh-CN.vtt |
3.04KB |
| 32. Layers-pg99FkXYK0M.zh-CN.vtt |
3.04KB |
| 32. Multiclass Classification-uNTtvxwfox0.en.vtt |
2.08KB |
| 32. Multiclass Classification-uNTtvxwfox0.en.vtt |
2.08KB |
| 32. Multiclass Classification-uNTtvxwfox0.mp4 |
1.88MB |
| 32. Multiclass Classification-uNTtvxwfox0.mp4 |
1.88MB |
| 32. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt |
2.12KB |
| 32. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt |
2.12KB |
| 32. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt |
1.82KB |
| 32. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt |
1.82KB |
| 32. Neural Network Architecture.html |
13.07KB |
| 32. Neural Network Architecture.html |
13.07KB |
| 32. Quiz Dictionaries and Identity Operators.html |
15.99KB |
| 32. Quiz factor_information_coefficient.html |
11.76KB |
| 32. Quiz List Comprehensions.html |
11.43KB |
| 32. Reducing Uncertainty.html |
8.36KB |
| 32. Reducing Uncertainty-zuFMhmKQ--o.ar.vtt |
1.88KB |
| 32. Reducing Uncertainty-zuFMhmKQ--o.en.vtt |
1.48KB |
| 32. Reducing Uncertainty-zuFMhmKQ--o.mp4 |
4.40MB |
| 32. Reducing Uncertainty-zuFMhmKQ--o.pt-BR.vtt |
1.50KB |
| 32. Reducing Uncertainty-zuFMhmKQ--o.zh-CN.vtt |
1.23KB |
| 33. Bayes' Rule and Robotics.html |
8.42KB |
| 33. Bayes' Rule and Robotics-meNSO42JF6I.ar.vtt |
1.27KB |
| 33. Bayes' Rule and Robotics-meNSO42JF6I.en.vtt |
979B |
| 33. Bayes' Rule and Robotics-meNSO42JF6I.mp4 |
2.91MB |
| 33. Bayes' Rule and Robotics-meNSO42JF6I.pt-BR.vtt |
1.14KB |
| 33. Bayes' Rule and Robotics-meNSO42JF6I.zh-CN.vtt |
892B |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt |
6.17KB |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt |
6.17KB |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 |
5.33MB |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 |
5.33MB |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt |
6.76KB |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt |
6.76KB |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt |
5.33KB |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt |
5.33KB |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt |
1.97KB |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt |
1.97KB |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 |
1.72MB |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 |
1.72MB |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt |
2.12KB |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt |
2.12KB |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt |
1.69KB |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt |
1.69KB |
| 33. Feedforward.html |
9.69KB |
| 33. Feedforward.html |
9.69KB |
| 33. Quiz + Text Recap.html |
16.42KB |
| 33. Rank IC coding exercise.html |
11.50KB |
| 33. Solution Dictionaries and Identity Operators.html |
9.32KB |
| 33. Solution List Comprehensions.html |
9.53KB |
| 34. Backpropagation.html |
12.51KB |
| 34. Backpropagation.html |
12.51KB |
| 34. Backpropagation V2-1SmY3TZTyUk.en.vtt |
7.21KB |
| 34. Backpropagation V2-1SmY3TZTyUk.en.vtt |
7.21KB |
| 34. Backpropagation V2-1SmY3TZTyUk.mp4 |
6.52MB |
| 34. Backpropagation V2-1SmY3TZTyUk.mp4 |
6.52MB |
| 34. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt |
7.17KB |
| 34. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt |
7.17KB |
| 34. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt |
6.39KB |
| 34. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt |
6.39KB |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt |
3.41KB |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt |
3.41KB |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 |
3.31MB |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 |
3.31MB |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt |
3.44KB |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt |
3.44KB |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt |
2.88KB |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt |
2.88KB |
| 34. Chain Rule-YAhIBOnbt54.en.vtt |
1.65KB |
| 34. Chain Rule-YAhIBOnbt54.en.vtt |
1.65KB |
| 34. Chain Rule-YAhIBOnbt54.mp4 |
1.46MB |
| 34. Chain Rule-YAhIBOnbt54.mp4 |
1.46MB |
| 34. Chain Rule-YAhIBOnbt54.pt-BR.vtt |
1.73KB |
| 34. Chain Rule-YAhIBOnbt54.pt-BR.vtt |
1.73KB |
| 34. Chain Rule-YAhIBOnbt54.zh-CN.vtt |
1.42KB |
| 34. Chain Rule-YAhIBOnbt54.zh-CN.vtt |
1.42KB |
| 34. Conclusion.html |
8.46KB |
| 34. Congrats!-vDoqpwCHxs4.ar.vtt |
673B |
| 34. Congrats!-vDoqpwCHxs4.en.vtt |
467B |
| 34. Congrats!-vDoqpwCHxs4.mp4 |
3.11MB |
| 34. Congrats!-vDoqpwCHxs4.pt-BR.vtt |
583B |
| 34. Congrats!-vDoqpwCHxs4.zh-CN.vtt |
410B |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt |
6.16KB |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt |
6.16KB |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 |
5.69MB |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 |
5.69MB |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt |
6.50KB |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt |
6.50KB |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt |
5.05KB |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt |
5.05KB |
| 34. Learning from Sensor Data.html |
11.65KB |
| 34. M4 L3a 151 The Fundamental Law Of Active Management Part 1 V4-iCW_vqvrTlw.en.vtt |
4.77KB |
| 34. M4 L3a 151 The Fundamental Law Of Active Management Part 1 V4-iCW_vqvrTlw.mp4 |
12.96MB |
| 34. Quiz More With Dictionaries.html |
13.72KB |
| 34. The Fundamental Law of Active Management Part 1.html |
11.03KB |
| 35. Compound Data Structures.html |
10.70KB |
| 35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.en.vtt |
1.24KB |
| 35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.mp4 |
4.21MB |
| 35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.pt-BR.vtt |
1.58KB |
| 35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.zh-CN.vtt |
1.08KB |
| 35. M4 L3a 152 The Fundamental Law Of Active Management Part 2 V7-CMc4ujA8Ahs.en.vtt |
2.80KB |
| 35. M4 L3a 152 The Fundamental Law Of Active Management Part 2 V7-CMc4ujA8Ahs.mp4 |
7.75MB |
| 35. Pre-Notebook Analyzing Student Data.html |
9.45KB |
| 35. Pre-Notebook Analyzing Student Data.html |
9.45KB |
| 35. The Fundamental Law of Active Management Part 2.html |
12.35KB |
| 35. Using Sensor Data.html |
8.34KB |
| 35. Using Sensor Data-vhl-SADfti8.ar.vtt |
2.19KB |
| 35. Using Sensor Data-vhl-SADfti8.en.vtt |
1.59KB |
| 35. Using Sensor Data-vhl-SADfti8.mp4 |
5.21MB |
| 35. Using Sensor Data-vhl-SADfti8.pt-BR.vtt |
1.86KB |
| 35. Using Sensor Data-vhl-SADfti8.zh-CN.vtt |
1.38KB |
| 36. Learning Objectives - Bayes' Rule.html |
16.50KB |
| 36. M4 L3a 161 Real World Constraints Liquidity V3-eu0YZRMu_3w.en.vtt |
2.69KB |
| 36. M4 L3a 161 Real World Constraints Liquidity V3-eu0YZRMu_3w.mp4 |
7.61MB |
| 36. Notebook Analyzing Student Data.html |
8.85KB |
| 36. Notebook Analyzing Student Data.html |
8.85KB |
| 36. Quiz Compound Data Structures.html |
15.14KB |
| 36. Real World Constraints Liquidity.html |
10.96KB |
| 37. Bayes Rule Conclusion.html |
8.37KB |
| 37. Bayes Rule Conclusion-vlfDGCD8w0s.ar.vtt |
731B |
| 37. Bayes Rule Conclusion-vlfDGCD8w0s.en.vtt |
530B |
| 37. Bayes Rule Conclusion-vlfDGCD8w0s.mp4 |
1.61MB |
| 37. Bayes Rule Conclusion-vlfDGCD8w0s.pt-BR.vtt |
579B |
| 37. Bayes Rule Conclusion-vlfDGCD8w0s.zh-CN.vtt |
458B |
| 37. M4 L3a 162 Real World Constraints Transaction Costs V2-HAif7xSh8z0.en.vtt |
2.56KB |
| 37. M4 L3a 162 Real World Constraints Transaction Costs V2-HAif7xSh8z0.mp4 |
4.91MB |
| 37. Outro.html |
8.38KB |
| 37. Outro.html |
8.38KB |
| 37. Real World Constraints Transaction Costs.html |
11.00KB |
| 37. Solution Compound Data Structions.html |
9.25KB |
| 38. Conclusion.html |
9.12KB |
| 38. Conclusion-LLEZadlXM8A.ar.vtt |
534B |
| 38. Conclusion-LLEZadlXM8A.en.vtt |
423B |
| 38. Conclusion-LLEZadlXM8A.mp4 |
2.54MB |
| 38. Conclusion-LLEZadlXM8A.pt-BR.vtt |
411B |
| 38. Conclusion-LLEZadlXM8A.zh-CN.vtt |
389B |
| 38. M4 L3a 171 Turnover As Proxy For Real World Constraints V2-6xo8sZjoSVk.en.vtt |
2.06KB |
| 38. M4 L3a 171 Turnover As Proxy For Real World Constraints V2-6xo8sZjoSVk.mp4 |
5.50MB |
| 38. Turnover as a Proxy for Real World Constraints.html |
11.02KB |
| 39. Factor Rank Autocorrelation (Turnover).html |
10.98KB |
| 39. M4 L3a 172 Factor Rank Autocorrelation Turnover V2-QBvbMiVW100.en.vtt |
4.45KB |
| 39. M4 L3a 172 Factor Rank Autocorrelation Turnover V2-QBvbMiVW100.mp4 |
9.81MB |
| 39. Summary.html |
14.66KB |
| 40. Turnover Exercise.html |
11.49KB |
| 41. M4 L3a 181 Quantile Analysis Part 1 V2-oT5GFbg0G8g.en.vtt |
3.33KB |
| 41. M4 L3a 181 Quantile Analysis Part 1 V2-oT5GFbg0G8g.mp4 |
4.33MB |
| 41. Quantile Analysis Part 1.html |
10.92KB |
| 42. M4 L3a 182 Quantile Analysis Part 2 V3-NF18kx0sfBE.en.vtt |
2.96KB |
| 42. M4 L3a 182 Quantile Analysis Part 2 V3-NF18kx0sfBE.mp4 |
2.91MB |
| 42. Quantile Analysis Part 2.html |
11.37KB |
| 43. mean returns by quantile quiz.html |
11.99KB |
| 44. Quantile analysis exercise.html |
11.51KB |
| 45. M4 L3a 19 Quantiles Academic Research Vs Practitioners V2-AwL7cV2VyhM.en.vtt |
2.38KB |
| 45. M4 L3a 19 Quantiles Academic Research Vs Practitioners V2-AwL7cV2VyhM.mp4 |
5.47MB |
| 45. Quantiles Academic Research vs. Practitioners.html |
11.01KB |
| 46. M4 L3a 20 Transfer Coefficient V3-4rZ0MWQzlIs.en.vtt |
4.40KB |
| 46. M4 L3a 20 Transfer Coefficient V3-4rZ0MWQzlIs.mp4 |
10.08MB |
| 46. Transfer Coefficient.html |
10.89KB |
| 47. Transfer Coefficient Coding Exercise.html |
11.53KB |
| 48. It’s all Relative.html |
10.88KB |
| 48. M4 L3a 21 Its All Relative V2-VBcOrT7TuFA.en.vtt |
1.63KB |
| 48. M4 L3a 21 Its All Relative V2-VBcOrT7TuFA.mp4 |
4.22MB |
| 48011955.gif |
81.89KB |
| 48198838.gif |
82.00KB |
| 48198839.gif |
82.81KB |
| 48204962.gif |
58.29KB |
| 48230509.gif |
60.32KB |
| 48230510.gif |
79.18KB |
| 48240997.gif |
88.58KB |
| 48240998.gif |
80.60KB |
| 48241000.gif |
74.71KB |
| 48271966.gif |
86.74KB |
| 48271967.gif |
96.13KB |
| 48292975.gif |
58.78KB |
| 48296523.gif |
71.75KB |
| 48310768.gif |
87.65KB |
| 48311831.gif |
80.33KB |
| 48311832.gif |
82.90KB |
| 48445276.gif |
83.24KB |
| 48480558.gif |
69.36KB |
| 48480561.gif |
85.92KB |
| 48609553.gif |
70.70KB |
| 48629196.gif |
70.92KB |
| 48632799.gif |
71.37KB |
| 48632800.gif |
47.62KB |
| 48632846.gif |
60.60KB |
| 48632848.gif |
79.80KB |
| 48635652.gif |
58.13KB |
| 48641639.gif |
83.13KB |
| 48646780.gif |
83.92KB |
| 48652467.gif |
72.79KB |
| 48658976.gif |
80.19KB |
| 48665990.gif |
309.25KB |
| 48667978.gif |
84.52KB |
| 48667979.gif |
70.38KB |
| 48667981.gif |
52.53KB |
| 48678737.gif |
77.74KB |
| 48678758.gif |
73.58KB |
| 48680638.gif |
68.34KB |
| 48683704.gif |
70.66KB |
| 48684686.gif |
91.62KB |
| 48684742.gif |
57.16KB |
| 48686674.gif |
75.75KB |
| 48687733.gif |
71.92KB |
| 48687795.gif |
57.33KB |
| 48688787.gif |
82.40KB |
| 48688828.gif |
57.96KB |
| 48692636.gif |
74.24KB |
| 48692663.gif |
70.63KB |
| 48692666.gif |
59.53KB |
| 48693692.gif |
58.52KB |
| 48695597.gif |
63.29KB |
| 48697566.gif |
71.26KB |
| 48698525.gif |
89.16KB |
| 48698526.gif |
90.98KB |
| 48698583.gif |
61.09KB |
| 48698595.gif |
53.00KB |
| 48699581.gif |
55.22KB |
| 48704300.gif |
80.67KB |
| 48709280.gif |
73.94KB |
| 48713571.gif |
1011.65KB |
| 48716247.gif |
62.80KB |
| 48716288.gif |
59.35KB |
| 48716290.gif |
84.79KB |
| 48720246.gif |
55.25KB |
| 48721292.gif |
90.54KB |
| 48721315.gif |
73.74KB |
| 48725208.gif |
68.86KB |
| 48726280.gif |
84.66KB |
| 48728202.gif |
92.14KB |
| 48729170.gif |
54.43KB |
| 48734186.gif |
68.36KB |
| 48734324.gif |
90.86KB |
| 48736116.gif |
267.40KB |
| 48737119.gif |
77.14KB |
| 48738100.gif |
61.08KB |
| 48738115.gif |
47.54KB |
| 48739104.gif |
63.85KB |
| 48739228.gif |
83.99KB |
| 48741058.gif |
56.01KB |
| 48741083.gif |
82.16KB |
| 48741099.gif |
52.38KB |
| 48742066.gif |
56.40KB |
| 48743074.gif |
87.07KB |
| 48745039.gif |
291.24KB |
| 48746014.gif |
72.67KB |
| 48746015.gif |
57.96KB |
| 48750006.gif |
58.62KB |
| 48750011.gif |
82.00KB |
| 48750031.gif |
78.60KB |
| 48752009.gif |
82.38KB |
| 49. Conditional Factors.html |
10.89KB |
| 49. M4 L3a 22 Conditional Factors V2-2J1aUwGq6tc.en.vtt |
5.02KB |
| 49. M4 L3a 22 Conditional Factors V2-2J1aUwGq6tc.mp4 |
9.17MB |
| 50. M4 L3a 23 Summary V3-FZYqdaqoiZk.en.vtt |
4.69KB |
| 50. M4 L3a 23 Summary V3-FZYqdaqoiZk.mp4 |
12.98MB |
| 50. Summary.html |
10.83KB |
| 51. Interlude Reading Academic Research Papers, Part 1.html |
10.94KB |
| 51. M4 L3a 25 Interlude Pt 1 V2-SMQwc5kwSr0.en.vtt |
3.76KB |
| 51. M4 L3a 25 Interlude Pt 1 V2-SMQwc5kwSr0.mp4 |
9.26MB |
| 52. Interlude Reading Academic Research Papers, Part 2.html |
10.94KB |
| 52. M4 L3a 26 Interlude Pt 2 V2-1a60RPqhO8k.en.vtt |
5.65KB |
| 52. M4 L3a 26 Interlude Pt 2 V2-1a60RPqhO8k.mp4 |
14.72MB |
| 53. Interlude Reading Academic Research Papers, Part 3.html |
10.94KB |
| 53. M4 L3a 27 Interlude Pt 3 V2-v6cLkoJhujU.en.vtt |
5.69KB |
| 53. M4 L3a 27 Interlude Pt 3 V2-v6cLkoJhujU.mp4 |
14.80MB |
| aapl-adj-close.jpeg |
39.91KB |
| aapl-returns-log-returns.jpeg |
90.07KB |
| and-quiz.png |
265.78KB |
| and-quiz.png |
265.78KB |
| and-to-or.png |
606.14KB |
| and-to-or.png |
606.14KB |
| arpan-happy-emoji.png |
1.62MB |
| arpan-happy-features.png |
1.58MB |
| arpan-happy-results.png |
1.62MB |
| arpan-shocked.png |
1.38MB |
| batch-stochastic.png |
196.92KB |
| bootstrap.min.css |
137.64KB |
| bootstrap.min.js |
49.85KB |
| cezanne-head.jpg |
59.53KB |
| codecogseqn-43.gif |
7.96KB |
| codecogseqn-43.gif |
7.96KB |
| codecogseqn-49.gif |
2.09KB |
| codecogseqn-49.gif |
2.09KB |
| codecogseqn-58.gif |
919B |
| codecogseqn-58.gif |
919B |
| codecogseqn-60-2.png |
8.94KB |
| codecogseqn-60-2.png |
8.94KB |
| codecogseqn-61.gif |
2.07KB |
| codecogseqn-62.gif |
1.31KB |
| command+palette.mp4 |
169.16KB |
| conda-environments.png |
40.09KB |
| conda-tab.png |
109.92KB |
| cp1a9390.jpg |
63.65KB |
| cvxpy-example.jpeg |
56.26KB |
| cvxpy-visual.jpeg |
41.38KB |
| dancing-beemo.gif |
318.16KB |
| distributions.png |
110.42KB |
| e.gif |
1.18KB |
| f1.gif |
2.01KB |
| f2.gif |
1.88KB |
| f4.gif |
1.13KB |
| f6.gif |
1.60KB |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| FTUApps.com website coming soon.txt |
94B |
| generate-messages-output.png |
310.53KB |
| get-hired-with-the-udacity-career-portal.gif |
756.73KB |
| gif-1.gif |
1.03KB |
| grant.png |
569.90KB |
| histogram-nonnormal.png |
35.31KB |
| house.png |
491.52KB |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| How you can help Team-FTU.txt |
241B |
| image4.png |
436.47KB |
| image8.png |
228.06KB |
| img-4646.jpg |
27.12KB |
| index.html |
4.05KB |
| index.html |
3.67KB |
| index.html |
3.52KB |
| index.html |
3.64KB |
| index.html |
4.17KB |
| index.html |
4.46KB |
| index.html |
3.88KB |
| index.html |
4.66KB |
| index.html |
3.91KB |
| index.html |
3.78KB |
| index.html |
4.30KB |
| index.html |
4.86KB |
| index.html |
4.11KB |
| index.html |
4.53KB |
| index.html |
4.56KB |
| index.html |
3.95KB |
| index.html |
5.50KB |
| index.html |
4.32KB |
| index.html |
4.72KB |
| index.html |
4.54KB |
| index.html |
4.03KB |
| index.html |
4.45KB |
| index.html |
5.75KB |
| index.html |
5.15KB |
| index.html |
4.75KB |
| index.html |
4.94KB |
| index.html |
8.61KB |
| index.html |
6.45KB |
| index.html |
4.81KB |
| index.html |
3.96KB |
| index.html |
3.63KB |
| index.html |
4.22KB |
| index.html |
4.21KB |
| index.html |
4.04KB |
| index.html |
5.46KB |
| index.html |
3.93KB |
| index.html |
6.35KB |
| index.html |
5.69KB |
| index.html |
5.00KB |
| index.html |
4.61KB |
| index.html |
4.79KB |
| index.html |
4.58KB |
| index.html |
3.53KB |
| index.html |
3.77KB |
| index.html |
3.68KB |
| index.html |
3.71KB |
| index.html |
6.95KB |
| index.html |
6.41KB |
| index.html |
5.00KB |
| index.html |
6.01KB |
| index.html |
3.94KB |
| index.html |
4.48KB |
| index.html |
4.14KB |
| index.html |
4.66KB |
| index.html |
4.31KB |
| index.html |
4.80KB |
| index.html |
4.70KB |
| index.html |
6.23KB |
| index.html |
6.95KB |
| index.html |
4.41KB |
| index.html |
4.73KB |
| index.html |
4.51KB |
| index.html |
4.56KB |
| index.html |
6.15KB |
| index.html |
4.08KB |
| index.html |
4.37KB |
| index.html |
6.71KB |
| index.html |
5.53KB |
| index.html |
6.82KB |
| index.html |
4.85KB |
| index.html |
5.24KB |
| index.html |
4.59KB |
| index.html |
4.82KB |
| index.html |
4.97KB |
| index.html |
5.77KB |
| index.html |
6.35KB |
| index.html |
4.37KB |
| index.html |
4.24KB |
| index.html |
283.60KB |
| iris-box-plot.png |
15.80KB |
| jquery.mCustomScrollbar.concat.min.js |
44.41KB |
| jquery.mCustomScrollbar.min.css |
41.83KB |
| jquery-3.3.1.min.js |
84.89KB |
| just-a-2d-reg.png |
68.49KB |
| just-a-simple-lin-reg.png |
25.95KB |
| KaTeX_AMS-Regular.ttf |
69.75KB |
| KaTeX_AMS-Regular.woff |
39.26KB |
| KaTeX_AMS-Regular.woff2 |
32.43KB |
| KaTeX_Caligraphic-Bold.ttf |
19.13KB |
| KaTeX_Caligraphic-Bold.woff |
11.85KB |
| KaTeX_Caligraphic-Bold.woff2 |
10.35KB |
| KaTeX_Caligraphic-Regular.ttf |
18.52KB |
| KaTeX_Caligraphic-Regular.woff |
11.59KB |
| KaTeX_Caligraphic-Regular.woff2 |
10.17KB |
| KaTeX_Fraktur-Bold.ttf |
35.13KB |
| KaTeX_Fraktur-Bold.woff |
22.84KB |
| KaTeX_Fraktur-Bold.woff2 |
20.01KB |
| KaTeX_Fraktur-Regular.ttf |
33.84KB |
| KaTeX_Fraktur-Regular.woff |
22.31KB |
| KaTeX_Fraktur-Regular.woff2 |
19.39KB |
| KaTeX_Main-Bold.ttf |
60.27KB |
| KaTeX_Main-Bold.woff |
35.89KB |
| KaTeX_Main-Bold.woff2 |
29.90KB |
| KaTeX_Main-BoldItalic.ttf |
43.77KB |
| KaTeX_Main-BoldItalic.woff |
25.61KB |
| KaTeX_Main-BoldItalic.woff2 |
21.67KB |
| KaTeX_Main-Italic.ttf |
46.83KB |
| KaTeX_Main-Italic.woff |
26.56KB |
| KaTeX_Main-Italic.woff2 |
22.52KB |
| KaTeX_Main-Regular.ttf |
68.43KB |
| KaTeX_Main-Regular.woff |
38.52KB |
| KaTeX_Main-Regular.woff2 |
32.09KB |
| KaTeX_Math-BoldItalic.ttf |
38.81KB |
| KaTeX_Math-BoldItalic.woff |
22.65KB |
| KaTeX_Math-BoldItalic.woff2 |
19.57KB |
| KaTeX_Math-Italic.ttf |
40.48KB |
| KaTeX_Math-Italic.woff |
23.26KB |
| KaTeX_Math-Italic.woff2 |
19.95KB |
| KaTeX_SansSerif-Bold.ttf |
33.23KB |
| KaTeX_SansSerif-Bold.woff |
18.72KB |
| KaTeX_SansSerif-Bold.woff2 |
15.62KB |
| KaTeX_SansSerif-Italic.ttf |
30.57KB |
| KaTeX_SansSerif-Italic.woff |
17.70KB |
| KaTeX_SansSerif-Italic.woff2 |
14.86KB |
| KaTeX_SansSerif-Regular.ttf |
29.45KB |
| KaTeX_SansSerif-Regular.woff |
16.39KB |
| KaTeX_SansSerif-Regular.woff2 |
13.70KB |
| KaTeX_Script-Regular.ttf |
24.28KB |
| KaTeX_Script-Regular.woff |
13.53KB |
| KaTeX_Script-Regular.woff2 |
11.99KB |
| KaTeX_Size1-Regular.ttf |
12.86KB |
| KaTeX_Size1-Regular.woff |
6.82KB |
| KaTeX_Size1-Regular.woff2 |
5.69KB |
| KaTeX_Size2-Regular.ttf |
12.12KB |
| KaTeX_Size2-Regular.woff |
6.53KB |
| KaTeX_Size2-Regular.woff2 |
5.43KB |
| KaTeX_Size3-Regular.ttf |
8.16KB |
| KaTeX_Size3-Regular.woff |
4.66KB |
| KaTeX_Size3-Regular.woff2 |
3.77KB |
| KaTeX_Size4-Regular.ttf |
11.02KB |
| KaTeX_Size4-Regular.woff |
6.30KB |
| KaTeX_Size4-Regular.woff2 |
5.06KB |
| KaTeX_Typewriter-Regular.ttf |
35.46KB |
| KaTeX_Typewriter-Regular.woff |
20.43KB |
| KaTeX_Typewriter-Regular.woff2 |
17.13KB |
| katex.min.css |
21.56KB |
| katex.min.js |
231.26KB |
| l2-norm.jpeg |
51.34KB |
| lin-reg-no-outliers.png |
28.61KB |
| lin-reg-w-outliers.png |
27.55KB |
| m.gif |
3.82KB |
| m4l2a-01-image-v1.png |
157.09KB |
| magic-matplotlib.png |
90.72KB |
| magic-pdb.png |
68.61KB |
| magic-timeit.png |
157.29KB |
| magic-timeit2.png |
56.11KB |
| Markdown+cells.mp4 |
330.36KB |
| mat-headshot.png |
179.99KB |
| mat-headshot.png |
179.99KB |
| meme.png |
209.05KB |
| meme.png |
209.05KB |
| meme.png |
209.05KB |
| meme.png |
209.05KB |
| meme.png |
209.05KB |
| meme.png |
209.05KB |
| minibatch.png |
136.77KB |
| momentum-quiz.jpeg |
19.76KB |
| nbconvert-example.png |
73.30KB |
| new-notebook.png |
101.77KB |
| notebook+interface.mp4 |
215.47KB |
| notebook-components.png |
30.25KB |
| notebook-download.png |
79.54KB |
| notebook-json.png |
95.29KB |
| notebook-server.png |
103.33KB |
| notebook-shutdown.png |
62.35KB |
| numerical-stability-example.jpg |
25.10KB |
| or-quiz.png |
393.62KB |
| or-quiz.png |
393.62KB |
| perceptronquiz.png |
93.69KB |
| perceptronquiz.png |
93.69KB |
| plyr.css |
23.62KB |
| plyr.polyfilled.min.js |
126.16KB |
| points.png |
63.17KB |
| points.png |
63.17KB |
| Project Description - Breakout Strategy.html |
4.81KB |
| Project Description - Multi-factor Model.html |
4.80KB |
| Project Description - NLP on Financial Statements.html |
4.77KB |
| Project Description - Project 7 Combine Signals for Enhanced Alpha.html |
4.56KB |
| Project Description - Project 8 Backtesting.html |
4.42KB |
| Project Description - Smart Beta and Portfolio Optimization.html |
4.90KB |
| Project Description - Trading with Momentum.html |
4.74KB |
| Project Rubric - Breakout Strategy.html |
7.90KB |
| Project Rubric - Multi-factor Model.html |
9.87KB |
| Project Rubric - NLP on Financial Statements.html |
7.29KB |
| Project Rubric - Project 7 Combine Signals for Enhanced Alpha.html |
4.53KB |
| Project Rubric - Project 8 Backtesting.html |
4.39KB |
| Project Rubric - Smart Beta and Portfolio Optimization.html |
7.79KB |
| Project Rubric - Trading with Momentum.html |
7.34KB |
| pythagorean-theroem.jpeg |
45.72KB |
| quadraticlinearregression.png |
23.56KB |
| quiz.jpg |
174.18KB |
| recommending-apps.png |
140.56KB |
| regularization-quiz.png |
87.90KB |
| screen-shot-2017-03-13-at-12.36.54-pm.png |
193.00KB |
| screen-shot-2017-03-17-at-4.03.20-pm.png |
451.90KB |
| screen-shot-2017-03-17-at-5.09.53-pm.png |
1.62MB |
| screen-shot-2017-03-17-at-5.12.46-pm.png |
305.85KB |
| screen-shot-2017-03-17-at-5.18.10-pm.png |
1.27MB |
| screen-shot-2017-03-17-at-5.20.52-pm.png |
821.42KB |
| screen-shot-2017-03-17-at-5.25.16-pm.png |
979.06KB |
| screen-shot-2017-06-26-at-2.11.18-pm.png |
70.26KB |
| screen-shot-2017-06-26-at-3.47.37-pm.png |
77.21KB |
| screen-shot-2017-08-02-at-11.40.37-am.png |
108.23KB |
| screen-shot-2017-08-02-at-11.49.10-am.png |
120.26KB |
| screen-shot-2017-08-02-at-4.57.01-pm.png |
84.00KB |
| screen-shot-2017-10-27-at-1.49.58-pm.png |
11.37KB |
| screen-shot-2017-11-06-at-1.14.05-pm.png |
15.64KB |
| screen-shot-2017-11-07-at-2.16.14-pm.png |
78.33KB |
| screen-shot-2017-11-07-at-2.17.08-pm.png |
882.60KB |
| screen-shot-2017-11-07-at-2.18.27-pm.png |
832.02KB |
| screen-shot-2017-11-16-at-4.26.22-pm.png |
41.24KB |
| screen-shot-2017-11-16-at-4.27.58-pm.png |
27.77KB |
| screen-shot-2017-11-16-at-4.31.41-pm.png |
44.91KB |
| screen-shot-2018-01-06-at-8.13.20-pm.png |
50.77KB |
| screen-shot-2018-01-06-at-9.30.27-pm.png |
66.38KB |
| screen-shot-2018-01-06-at-9.41.01-pm.png |
110.70KB |
| screen-shot-2018-01-19-at-1.05.48-pm.png |
279.73KB |
| screen-shot-2018-01-19-at-1.14.23-pm.png |
358.59KB |
| screen-shot-2018-01-19-at-1.57.42-pm.png |
114.23KB |
| screen-shot-2018-01-19-at-1.58.00-pm.png |
126.03KB |
| screen-shot-2018-01-19-at-2.24.21-pm.png |
218.72KB |
| screen-shot-2018-01-19-at-2.28.03-pm.png |
90.71KB |
| screen-shot-2018-01-23-at-10.49.16-am.png |
42.36KB |
| screen-shot-2018-01-23-at-11.30.13-am.png |
92.79KB |
| screen-shot-2018-01-24-at-12.03.45-am.png |
170.85KB |
| screen-shot-2018-01-24-at-2.27.07-pm.png |
113.18KB |
| screen-shot-2018-01-24-at-3.13.49-pm.png |
204.57KB |
| screen-shot-2018-01-26-at-10.16.48-pm.png |
44.48KB |
| screen-shot-2018-01-26-at-11.05.49-pm.png |
323.90KB |
| screen-shot-2018-01-26-at-11.16.45-pm.png |
44.43KB |
| screen-shot-2018-01-26-at-11.21.42-pm.png |
44.22KB |
| screen-shot-2018-01-26-at-11.48.02-pm.png |
43.35KB |
| screen-shot-2018-01-29-at-11.49.47-am.png |
65.43KB |
| screen-shot-2018-01-29-at-11.51.35-am.png |
84.25KB |
| screen-shot-2018-01-30-at-4.39.42-pm.png |
95.46KB |
| screen-shot-2018-01-30-at-5.14.39-pm.png |
220.32KB |
| screen-shot-2018-02-01-at-12.10.40-am.png |
47.51KB |
| screen-shot-2018-02-10-at-8.59.39-pm.png |
314.45KB |
| screen-shot-2018-02-10-at-9.00.30-pm.png |
295.89KB |
| screen-shot-2018-02-14-at-10.47.52-am.png |
51.49KB |
| screen-shot-2018-02-14-at-3.59.39-pm.png |
102.91KB |
| screen-shot-2018-02-14-at-6.07.26-pm.png |
117.44KB |
| screen-shot-2018-02-21-at-6.41.35-pm.png |
18.77KB |
| screen-shot-2018-03-19-at-2.30.59-pm.png |
507.42KB |
| screen-shot-2018-03-19-at-2.30.59-pm.png |
507.42KB |
| screen-shot-2018-03-19-at-2.30.59-pm.png |
507.42KB |
| screen-shot-2018-03-19-at-2.49.57-pm.png |
442.46KB |
| screen-shot-2018-03-19-at-3.21.24-pm.png |
339.90KB |
| screen-shot-2018-03-19-at-3.21.24-pm.png |
339.90KB |
| screen-shot-2018-03-19-at-3.49.28-pm.png |
471.61KB |
| screen-shot-2018-03-19-at-3.49.28-pm.png |
471.61KB |
| screen-shot-2018-03-19-at-3.49.28-pm.png |
471.61KB |
| screen-shot-2018-03-21-at-2.40.42-pm.png |
48.54KB |
| screen-shot-2018-03-28-at-4.44.34-pm.png |
30.76KB |
| screen-shot-2018-03-28-at-4.52.09-pm.png |
9.29KB |
| screen-shot-2018-03-28-at-5.11.09-pm.png |
32.06KB |
| screen-shot-2018-03-28-at-5.15.59-pm.png |
32.15KB |
| screen-shot-2018-04-02-at-4.25.41-pm.png |
97.56KB |
| screen-shot-2018-04-19-at-1.17.37-pm.png |
142.44KB |
| screen-shot-2018-04-20-at-3.04.04-pm.png |
58.47KB |
| screen-shot-2018-04-23-at-4.05.20-pm.png |
289.67KB |
| screen-shot-2018-04-23-at-4.10.20-pm.png |
716.56KB |
| screen-shot-2018-04-23-at-4.14.19-pm.png |
395.38KB |
| screen-shot-2018-05-11-at-11.03.34-am.png |
150.98KB |
| screen-shot-2018-05-22-at-12.25.34-pm.png |
6.09KB |
| screen-shot-2018-05-22-at-12.27.22-pm.png |
4.20KB |
| screen-shot-2018-05-22-at-12.27.55-pm.png |
4.28KB |
| screen-shot-2018-05-26-at-3.22.39-pm.png |
346.74KB |
| screen-shot-2018-05-26-at-3.37.30-pm.png |
192.09KB |
| screen-shot-2018-05-26-at-3.45.03-pm.png |
351.54KB |
| screen-shot-2018-05-26-at-3.51.18-pm.png |
198.22KB |
| screen-shot-2018-05-26-at-4.04.18-pm.png |
111.86KB |
| screen-shot-2018-05-26-at-4.05.55-pm.png |
104.63KB |
| screen-shot-2018-05-26-at-4.06.03-pm.png |
109.97KB |
| screen-shot-2018-05-26-at-4.15.46-pm.png |
113.47KB |
| screen-shot-2018-05-26-at-4.29.49-pm.png |
160.71KB |
| screen-shot-2018-05-26-at-4.32.19-pm.png |
152.53KB |
| screen-shot-2018-05-26-at-4.37.05-pm.png |
126.82KB |
| screen-shot-2018-05-26-at-4.51.08-pm.png |
313.39KB |
| screen-shot-2018-05-26-at-5.00.26-pm.png |
135.65KB |
| screen-shot-2018-07-27-at-1.24.38-pm.png |
30.85KB |
| screen-shot-2018-08-20-at-4.07.31-pm.png |
282.00KB |
| screen-shot-2018-09-10-at-7.38.39-pm.png |
296.26KB |
| screen-shot-2018-09-10-at-7.38.39-pm.png |
296.26KB |
| screen-shot-2018-10-15-at-8.35.15-pm.png |
119.96KB |
| screen-shot-2018-10-29-at-11.08.44-pm.png |
164.90KB |
| screen-shot-2018-10-29-at-2.28.21-pm.png |
140.95KB |
| screen-shot-2018-10-29-at-2.30.49-pm.png |
75.09KB |
| screen-shot-2018-10-29-at-2.34.00-pm.png |
52.35KB |
| screen-shot-2018-10-29-at-2.34.18-pm.png |
82.52KB |
| screen-shot-2018-10-29-at-2.42.15-pm.png |
145.49KB |
| screen-shot-2018-10-29-at-2.47.08-pm.png |
126.78KB |
| screen-shot-2018-10-29-at-2.48.16-pm.png |
157.95KB |
| screen-shot-2018-10-29-at-2.48.34-pm.png |
99.98KB |
| screen-shot-2018-10-29-at-2.51.35-pm.png |
157.69KB |
| screen-shot-2018-10-29-at-2.59.42-pm.png |
192.43KB |
| screen-shot-2018-10-29-at-3.04.01-pm.png |
217.46KB |
| screen-shot-2018-10-29-at-3.23.22-pm.png |
99.99KB |
| screen-shot-2018-10-29-at-3.28.20-pm.png |
65.29KB |
| screen-shot-2018-10-29-at-3.36.06-pm.png |
119.81KB |
| screen-shot-2018-10-29-at-3.55.55-pm.png |
93.60KB |
| screen-shot-2018-10-29-at-4.03.59-pm.png |
125.31KB |
| screen-shot-2018-10-29-at-4.09.18-pm.png |
47.72KB |
| screen-shot-2018-10-29-at-4.11.07-pm.png |
66.87KB |
| screen-shot-2018-10-29-at-4.12.27-pm.png |
83.39KB |
| screen-shot-2018-10-29-at-4.20.49-pm.png |
106.27KB |
| screen-shot-2018-10-29-at-4.27.07-pm.png |
124.97KB |
| screen-shot-2018-10-29-at-4.34.30-pm.png |
71.37KB |
| screen-shot-2018-10-29-at-4.37.50-pm.png |
105.28KB |
| screen-shot-2018-10-29-at-5.27.30-pm.png |
102.98KB |
| screen-shot-2018-10-29-at-5.29.38-pm.png |
104.85KB |
| screen-shot-2018-10-29-at-5.35.49-pm.png |
255.40KB |
| screen-shot-2018-10-29-at-5.40.03-pm.png |
389.40KB |
| screen-shot-2018-11-05-at-11.33.57-am.png |
153.88KB |
| screen-shot-2018-11-06-at-2.30.04-pm.png |
75.93KB |
| screen-shot-2018-11-06-at-2.48.40-pm.png |
58.05KB |
| screen-shot-2018-11-07-at-10.23.07-pm.png |
366.06KB |
| screen-shot-2018-11-07-at-9.55.40-pm.png |
222.17KB |
| screen-shot-2018-11-07-at-9.59.16-pm.png |
529.19KB |
| screen-shot-2018-11-09-at-6.28.07-pm.png |
299.96KB |
| screen-shot-2018-11-09-at-7.38.47-pm.png |
110.58KB |
| screen-shot-2018-11-09-at-7.48.22-pm.png |
1.57MB |
| screen-shot-2018-11-09-at-7.49.34-pm.png |
238.98KB |
| screen-shot-2018-11-09-at-7.49.50-pm.png |
375.54KB |
| screen-shot-2018-11-19-at-11.32.05-am.png |
521.11KB |
| sebastian-katie-jay.png |
779.77KB |
| server-shutdown.png |
155.42KB |
| sigmoid-derivative.gif |
2.09KB |
| sigmoid-derivative.gif |
2.09KB |
| slides-cell-toolbar-menu.png |
61.36KB |
| slides-choose-slide-type.png |
53.31KB |
| sml-chart.png |
10.78KB |
| spam.png |
67.76KB |
| spamham.png |
135.09KB |
| step1-cd.png |
14.68KB |
| step2-pwd.png |
16.39KB |
| step3-path.png |
20.76KB |
| step4-alias.png |
17.86KB |
| step5-source.png |
15.24KB |
| step6-testrun.png |
43.44KB |
| stop-sign-classification.png |
211.50KB |
| student-data.png |
91.85KB |
| student-quiz.png |
748.98KB |
| student-quiz.png |
748.98KB |
| styles.css |
3.76KB |
| table.png |
192.08KB |
| trees.png |
300.00KB |
| two-asset-variance.jpeg |
55.78KB |
| udacimak.png |
461.07KB |
| var-diagram.jpg |
77.34KB |
| waffle.png |
98.30KB |
| xor.png |
214.95KB |
| xor.png |
214.95KB |
| xor-quiz.png |
94.14KB |
| xor-quiz.png |
94.14KB |
| y.gif |
1.41KB |