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