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Please note that this page does not hosts or makes available any of the listed filenames. You
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| [FreeCoursesOnline.Me].url |
133B |
| [FreeTutorials.Us].url |
119B |
| [FTU Forum].url |
252B |
| 001. Introduction.mp4 |
31.05MB |
| 001. Introduction.srt |
16.07KB |
| 002. Key Concepts in Machine Learning.mp4 |
44.56MB |
| 002. Key Concepts in Machine Learning.srt |
18.82KB |
| 003. Python Tools for Machine Learning.mp4 |
12.86MB |
| 003. Python Tools for Machine Learning.srt |
6.11KB |
| 004. An Example Machine Learning Problem.mp4 |
31.73MB |
| 004. An Example Machine Learning Problem.srt |
14.83KB |
| 005. Examining the Data.mp4 |
32.24MB |
| 005. Examining the Data.srt |
12.05KB |
| 006. K-Nearest Neighbors Classification.mp4 |
36.25MB |
| 006. K-Nearest Neighbors Classification.srt |
26.19KB |
| 007. Introduction to Supervised Machine Learning.mp4 |
37.88MB |
| 007. Introduction to Supervised Machine Learning.srt |
22.13KB |
| 008. Overfitting and Underfitting.mp4 |
19.51MB |
| 008. Overfitting and Underfitting.srt |
15.81KB |
| 009. Supervised Learning Datasets.mp4 |
11.22MB |
| 009. Supervised Learning Datasets.srt |
6.74KB |
| 010. K-Nearest Neighbors Classification and Regression.mp4 |
22.53MB |
| 010. K-Nearest Neighbors Classification and Regression.srt |
17.09KB |
| 011. Linear Regression Least-Squares.mp4 |
30.08MB |
| 011. Linear Regression Least-Squares.srt |
21.26KB |
| 012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 |
39.93MB |
| 012. Linear Regression Ridge, Lasso, and Polynomial Regression.srt |
27.19KB |
| 013. Logistic Regression.mp4 |
20.30MB |
| 013. Logistic Regression.srt |
17.13KB |
| 014. Linear Classifiers Support Vector Machines.mp4 |
22.69MB |
| 014. Linear Classifiers Support Vector Machines.srt |
15.54KB |
| 015. Multi-Class Classification.mp4 |
15.41MB |
| 015. Multi-Class Classification.srt |
8.30KB |
| 016. Kernelized Support Vector Machines.mp4 |
39.14MB |
| 016. Kernelized Support Vector Machines.srt |
25.60KB |
| 017. Cross-Validation.mp4 |
20.00MB |
| 017. Cross-Validation.srt |
13.00KB |
| 018. Decision Trees.mp4 |
37.83MB |
| 018. Decision Trees.srt |
28.36KB |
| 019. Model Evaluation & Selection.mp4 |
46.10MB |
| 019. Model Evaluation & Selection.srt |
30.08KB |
| 020. Confusion Matrices & Basic Evaluation Metrics.mp4 |
20.75MB |
| 020. Confusion Matrices & Basic Evaluation Metrics.srt |
15.85KB |
| 021. Classifier Decision Functions.mp4 |
12.65MB |
| 021. Classifier Decision Functions.srt |
9.04KB |
| 022. Precision-recall and ROC curves.mp4 |
9.23MB |
| 022. Precision-recall and ROC curves.srt |
7.53KB |
| 023. Multi-Class Evaluation.mp4 |
19.77MB |
| 023. Multi-Class Evaluation.srt |
15.21KB |
| 024. Regression Evaluation.mp4 |
17.01MB |
| 024. Regression Evaluation.srt |
7.83KB |
| 025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4 |
34.50MB |
| 025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.srt |
18.12KB |
| 026. Naive Bayes Classifiers.mp4 |
21.38MB |
| 026. Naive Bayes Classifiers.srt |
11.20KB |
| 027. Random Forests.mp4 |
26.45MB |
| 027. Random Forests.srt |
17.07KB |
| 028. Gradient Boosted Decision Trees.mp4 |
11.81MB |
| 028. Gradient Boosted Decision Trees.srt |
8.44KB |
| 029. Neural Networks.mp4 |
41.51MB |
| 029. Neural Networks.srt |
27.90KB |
| 030. Deep Learning (Optional).mp4 |
17.46MB |
| 030. Deep Learning (Optional).srt |
10.34KB |
| 031. Data Leakage.mp4 |
32.89MB |
| 031. Data Leakage.srt |
16.69KB |
| 032. Introduction.mp4 |
10.67MB |
| 032. Introduction.srt |
6.46KB |
| 033. Dimensionality Reduction and Manifold Learning.mp4 |
16.09MB |
| 033. Dimensionality Reduction and Manifold Learning.srt |
13.47KB |
| 034. Clustering.mp4 |
27.18MB |
| 034. Clustering.srt |
19.90KB |
| 035. Conclusion.mp4 |
9.89MB |
| 035. Conclusion.srt |
3.90KB |