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Название [FreeAllCourse.Com] Udemy - Learning Python for Data Analysis and Visualization
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[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
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