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[FreeAllCourse.Com].url |
52B |
1.1 Link for FAQ.html |
149B |
1.1 Viewer Link For Stats Notes.txt |
121B |
1.2 Link to Code Notebooks for Course!.html |
131B |
1. Bonus Lecture.html |
532B |
1. Course Intro.mp4 |
13.25MB |
1. Course Intro.srt |
5.77KB |
1. Data Projects Preview.mp4 |
37.11MB |
1. Data Projects Preview.srt |
5.24KB |
1. GroupBy on DataFrames.mp4 |
36.32MB |
1. GroupBy on DataFrames.srt |
22.19KB |
1. Installation Setup and Overview.mp4 |
24.37MB |
1. Installation Setup and Overview.srt |
10.27KB |
1. Installing Seaborn.mp4 |
7.26MB |
1. Installing Seaborn.srt |
2.68KB |
1. Introduction to Machine Learning with SciKit Learn.mp4 |
46.17MB |
1. Introduction to Machine Learning with SciKit Learn.srt |
19.73KB |
1. Introduction to SQL with Python.mp4 |
43.76MB |
1. Introduction to SQL with Python.srt |
16.40KB |
1. Intro to Appendix B.mp4 |
7.24MB |
1. Intro to Appendix B.srt |
4.61KB |
1. Intro to numpy.html |
917B |
1. Merge.mp4 |
36.33MB |
1. Merge.srt |
23.08KB |
1. Python Overview Part 1.mp4 |
34.46MB |
1. Python Overview Part 1.srt |
24.83KB |
1. Reading and Writing Text Files.mp4 |
24.81MB |
1. Reading and Writing Text Files.srt |
13.10KB |
1. Series.mp4 |
24.75MB |
1. Series.srt |
16.54KB |
1. Web Scraping Part 1.mp4 |
37.31MB |
1. Web Scraping Part 1.srt |
17.81KB |
10. Chi Square Test and Distribution.mp4 |
15.72MB |
10. Chi Square Test and Distribution.srt |
4.30KB |
10. Data Project - Stock Market Analysis Part 3.mp4 |
40.01MB |
10. Data Project - Stock Market Analysis Part 3.srt |
14.98KB |
10. Missing Data.mp4 |
18.93MB |
10. Missing Data.srt |
14.36KB |
10. Multi Class Classification Part 1 - Logistic Regression.mp4 |
67.85MB |
10. Multi Class Classification Part 1 - Logistic Regression.srt |
23.88KB |
10. Rename Index.mp4 |
10.09MB |
10. Rename Index.srt |
7.33KB |
11. Bayes Theorem.mp4 |
36.76MB |
11. Bayes Theorem.srt |
14.32KB |
11. Binning.mp4 |
13.02MB |
11. Binning.srt |
7.93KB |
11. Data Project - Stock Market Analysis Part 4.mp4 |
25.88MB |
11. Data Project - Stock Market Analysis Part 4.srt |
9.62KB |
11. Index Hierarchy.mp4 |
24.03MB |
11. Index Hierarchy.srt |
17.52KB |
11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 |
73.53MB |
11. Multi Class Classification Part 2 - k Nearest Neighbor.srt |
29.08KB |
12. Data Project - Stock Market Analysis Part 5.mp4 |
93.98MB |
12. Data Project - Stock Market Analysis Part 5.srt |
36.62KB |
12. Outliers.mp4 |
16.22MB |
12. Outliers.srt |
8.33KB |
12. Support Vector Machines Part 1.mp4 |
64.93MB |
12. Support Vector Machines Part 1.srt |
19.06KB |
13. Data Project - Intro to Election Analysis.mp4 |
24.19MB |
13. Data Project - Intro to Election Analysis.srt |
3.58KB |
13. Permutation.mp4 |
8.74MB |
13. Permutation.srt |
6.64KB |
13. Support Vector Machines - Part 2.mp4 |
85.84MB |
13. Support Vector Machines - Part 2.srt |
35.36KB |
14. Data Project - Election Analysis Part 1.mp4 |
44.57MB |
14. Data Project - Election Analysis Part 1.srt |
24.34KB |
14. Naive Bayes Part 1.mp4 |
35.69MB |
14. Naive Bayes Part 1.srt |
13.77KB |
15. Data Project - Election Analysis Part 2.mp4 |
56.39MB |
15. Data Project - Election Analysis Part 2.srt |
27.83KB |
15. Naive Bayes Part 2.mp4 |
65.48MB |
15. Naive Bayes Part 2.srt |
16.76KB |
16. Data Project - Election Analysis Part 3.mp4 |
39.06MB |
16. Data Project - Election Analysis Part 3.srt |
21.38KB |
16. Decision Trees and Random Forests.mp4 |
152.94MB |
16. Decision Trees and Random Forests.srt |
42.81KB |
17. Data Project - Election Analysis Part 4.mp4 |
158.88MB |
17. Data Project - Election Analysis Part 4.srt |
30.47KB |
17. Natural Language Processing Part 1.mp4 |
62.76MB |
17. Natural Language Processing Part 1.srt |
10.93KB |
18. Natural Language Processing Part 2.mp4 |
59.73MB |
18. Natural Language Processing Part 2.srt |
21.61KB |
19. Natural Language Processing Part 3.mp4 |
148.91MB |
19. Natural Language Processing Part 3.srt |
28.57KB |
2.1 First Data Project.txt |
306B |
2.1 Link to Code Notebooks for Course!.html |
131B |
2. Course FAQs.html |
6.95KB |
2. Creating arrays.mp4 |
13.05MB |
2. Creating arrays.srt |
9.61KB |
2. DataFrames.mp4 |
52.86MB |
2. DataFrames.srt |
21.94KB |
2. Discrete Uniform Distribution.mp4 |
21.83MB |
2. Discrete Uniform Distribution.srt |
10.13KB |
2. GroupBy on Dict and Series.mp4 |
23.31MB |
2. GroupBy on Dict and Series.srt |
15.33KB |
2. Histograms.mp4 |
20.26MB |
2. Histograms.srt |
12.63KB |
2. IDEs and Course Resources.mp4 |
30.35MB |
2. IDEs and Course Resources.srt |
16.18KB |
2. Intro to Data Projects.mp4 |
18.67MB |
2. Intro to Data Projects.srt |
7.35KB |
2. JSON with Python.mp4 |
8.99MB |
2. JSON with Python.srt |
5.65KB |
2. Linear Regression Part 1.mp4 |
58.66MB |
2. Linear Regression Part 1.srt |
25.57KB |
2. Merge on Index.mp4 |
25.22MB |
2. Merge on Index.srt |
14.50KB |
2. Python Overview Part 2.mp4 |
21.89MB |
2. Python Overview Part 2.srt |
16.21KB |
2. SQL - SELECT,DISTINCT,WHERE,AND & OR.mp4 |
32.34MB |
2. SQL - SELECT,DISTINCT,WHERE,AND & OR.srt |
15.07KB |
2. Web Scraping Part 2.mp4 |
43.82MB |
2. Web Scraping Part 2.srt |
16.07KB |
20. Natural Language Processing Part 4.mp4 |
112.75MB |
20. Natural Language Processing Part 4.srt |
21.02KB |
3.1 First Data Project.txt |
306B |
3.1 Link to Code Notebooks for Course!.html |
131B |
3.2 Lecture 4 Info.txt |
180B |
3. Aggregation.mp4 |
43.79MB |
3. Aggregation.srt |
18.19KB |
3. Concatenate.mp4 |
21.14MB |
3. Concatenate.srt |
12.59KB |
3. Continuous Uniform Distribution.mp4 |
25.22MB |
3. Continuous Uniform Distribution.srt |
10.73KB |
3. HTML with Python.mp4 |
13.46MB |
3. HTML with Python.srt |
5.58KB |
3. Index objects.mp4 |
9.23MB |
3. Index objects.srt |
5.78KB |
3. iPythonJupyter Notebook Overview.mp4 |
68.96MB |
3. iPythonJupyter Notebook Overview.srt |
22.67KB |
3. Kernel Density Estimate Plots.mp4 |
61.86MB |
3. Kernel Density Estimate Plots.srt |
33.90KB |
3. Linear Regression Part 2.mp4 |
52.52MB |
3. Linear Regression Part 2.srt |
25.62KB |
3. Python Overview Part 3.mp4 |
19.93MB |
3. Python Overview Part 3.srt |
14.21KB |
3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 |
28.13MB |
3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.srt |
12.89KB |
3. Titanic Project - Part 1.mp4 |
43.30MB |
3. Titanic Project - Part 1.srt |
23.82KB |
3. Using arrays and scalars.mp4 |
7.94MB |
3. Using arrays and scalars.srt |
6.53KB |
4. Binomial Distribution.mp4 |
41.74MB |
4. Binomial Distribution.srt |
19.36KB |
4. Combining DataFrames.mp4 |
19.88MB |
4. Combining DataFrames.srt |
12.78KB |
4. Combining Plot Styles.mp4 |
11.62MB |
4. Combining Plot Styles.srt |
8.39KB |
4. Indexing Arrays.mp4 |
26.16MB |
4. Indexing Arrays.srt |
18.77KB |
4. Linear Regression Part 3.mp4 |
68.85MB |
4. Linear Regression Part 3.srt |
25.65KB |
4. Microsoft Excel files with Python.mp4 |
7.63MB |
4. Microsoft Excel files with Python.srt |
5.29KB |
4. Reindex.mp4 |
32.26MB |
4. Reindex.srt |
18.24KB |
4. Splitting Applying and Combining.mp4 |
22.15MB |
4. Splitting Applying and Combining.srt |
12.13KB |
4. Titanic Project - Part 2.mp4 |
38.92MB |
4. Titanic Project - Part 2.srt |
20.46KB |
5. Array Transposition.mp4 |
7.54MB |
5. Array Transposition.srt |
4.96KB |
5. Box and Violin Plots.mp4 |
18.29MB |
5. Box and Violin Plots.srt |
11.03KB |
5. Cross Tabulation.mp4 |
8.83MB |
5. Cross Tabulation.srt |
6.76KB |
5. Drop Entry.mp4 |
9.25MB |
5. Drop Entry.srt |
6.77KB |
5. Linear Regression Part 4.mp4 |
78.64MB |
5. Linear Regression Part 4.srt |
32.46KB |
5. Poisson Distribution.mp4 |
40.25MB |
5. Poisson Distribution.srt |
17.07KB |
5. Reshaping.mp4 |
14.40MB |
5. Reshaping.srt |
8.99KB |
5. Titanic Project - Part 3.mp4 |
35.08MB |
5. Titanic Project - Part 3.srt |
18.88KB |
6. Logistic Regression Part 1.mp4 |
71.80MB |
6. Logistic Regression Part 1.srt |
20.24KB |
6. Normal Distribution.mp4 |
19.43MB |
6. Normal Distribution.srt |
9.49KB |
6. Pivoting.mp4 |
17.98MB |
6. Pivoting.srt |
8.46KB |
6. Regression Plots.mp4 |
34.85MB |
6. Regression Plots.srt |
24.90KB |
6. Selecting Entries.mp4 |
18.12MB |
6. Selecting Entries.srt |
11.68KB |
6. Titanic Project - Part 4.mp4 |
5.32MB |
6. Titanic Project - Part 4.srt |
3.62KB |
6. Universal Array Function.mp4 |
14.94MB |
6. Universal Array Function.srt |
7.70KB |
7. Array Processing.mp4 |
41.03MB |
7. Array Processing.srt |
24.36KB |
7. Data Alignment.mp4 |
17.70MB |
7. Data Alignment.srt |
12.21KB |
7. Duplicates in DataFrames.mp4 |
11.07MB |
7. Duplicates in DataFrames.srt |
7.76KB |
7. Heatmaps and Clustered Matrices.mp4 |
39.05MB |
7. Heatmaps and Clustered Matrices.srt |
22.07KB |
7. Intro to Data Project - Stock Market Analysis.mp4 |
32.77MB |
7. Intro to Data Project - Stock Market Analysis.srt |
5.22KB |
7. Logistic Regression Part 2.mp4 |
51.81MB |
7. Logistic Regression Part 2.srt |
19.32KB |
7. Sampling Techniques.mp4 |
22.00MB |
7. Sampling Techniques.srt |
7.73KB |
8. Array Input and Output.mp4 |
13.97MB |
8. Array Input and Output.srt |
9.57KB |
8. Data Project - Stock Market Analysis Part 1.mp4 |
32.41MB |
8. Data Project - Stock Market Analysis Part 1.srt |
17.26KB |
8. Logistic Regression Part 3.mp4 |
39.67MB |
8. Logistic Regression Part 3.srt |
14.87KB |
8. Mapping.mp4 |
7.79MB |
8. Mapping.srt |
5.20KB |
8. Rank and Sort.mp4 |
9.45MB |
8. Rank and Sort.srt |
7.42KB |
8. T-Distribution.mp4 |
16.35MB |
8. T-Distribution.srt |
7.79KB |
9. Data Project - Stock Market Analysis Part 2.mp4 |
56.86MB |
9. Data Project - Stock Market Analysis Part 2.srt |
25.50KB |
9. Hypothesis Testing and Confidence Intervals.mp4 |
78.87MB |
9. Hypothesis Testing and Confidence Intervals.srt |
28.29KB |
9. Logistic Regression Part 4.mp4 |
97.94MB |
9. Logistic Regression Part 4.srt |
27.63KB |
9. Replace.mp4 |
5.15MB |
9. Replace.srt |
4.48KB |
9. Summary Statistics.mp4 |
46.09MB |
9. Summary Statistics.srt |
29.41KB |
Read Me.txt |
1.01KB |