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Udemy - Learning Python For Data Analysis And Visualization [Desire Course]

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Added 6 years ago by CourseClub in Other
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Udemy - Learning Python For Data Analysis And Visualization [Desire Course] (Size: 1.9 GB)
  1. Bonus Lecture.html 512 B
  1. Course Intro.mp4 5.9 MB
  1. Course Intro.srt 5.8 KB
  1. Data Projects Preview.mp4 25.8 MB
  1. Data Projects Preview.srt 5.2 KB
  1. GroupBy on DataFrames.mp4 17.2 MB
  1. GroupBy on DataFrames.srt 22.2 KB
  1. Installation Setup and Overview.mp4 24.4 MB
  1. Installation Setup and Overview.srt 10.3 KB
  1. Installing Seaborn.mp4 2.4 MB
  1. Installing Seaborn.srt 2.7 KB
  1. Intro to Appendix B.mp4 3 MB
  1. Intro to Appendix B.srt 4.6 KB
  1. Intro to numpy.html 921 B
  1. Introduction to Machine Learning with SciKit Learn.mp4 17.9 MB
  1. Introduction to Machine Learning with SciKit Learn.srt 19.7 KB
  1. Introduction to SQL with Python.mp4 16.4 MB
  1. Introduction to SQL with Python.srt 16.4 KB
  1. Merge.mp4 18.6 MB
  1. Merge.srt 23.1 KB
  1. Python Overview Part 1.mp4 17.4 MB
  1. Python Overview Part 1.srt 24.8 KB
  1. Reading and Writing Text Files.mp4 10.4 MB
  1. Reading and Writing Text Files.srt 13.1 KB
  1. Series.mp4 12.6 MB
  1. Series.srt 16.5 KB
  1. Web Scraping Part 1.mp4 14.5 MB
  1. Web Scraping Part 1.srt 17.8 KB
  1.1 Link for FAQ.html 102 B
  1.1 Viewer Link For Stats Notes.txt 102 B
  1.2 Link to Code Notebooks for Course!.html 102 B
  10. Chi Square Test and Distribution.mp4 5.6 MB
  10. Chi Square Test and Distribution.srt 4.3 KB
  10. Data Project - Stock Market Analysis Part 3.mp4 16.6 MB
  10. Data Project - Stock Market Analysis Part 3.srt 15 KB
  10. Missing Data.mp4 9.9 MB
  10. Missing Data.srt 14.4 KB
  10. Multi Class Classification Part 1 - Logistic Regression.mp4 26.8 MB
  10. Multi Class Classification Part 1 - Logistic Regression.srt 23.9 KB
  10. Rename Index.mp4 5.2 MB
  10. Rename Index.srt 7.3 KB
  11. Bayes Theorem.mp4 14.5 MB
  11. Bayes Theorem.srt 14.3 KB
  11. Binning.mp4 6.3 MB
  11. Binning.srt 7.9 KB
  11. Data Project - Stock Market Analysis Part 4.mp4 9.8 MB
  11. Data Project - Stock Market Analysis Part 4.srt 9.6 KB
  11. Index Hierarchy.mp4 12.2 MB
  11. Index Hierarchy.srt 17.5 KB
  11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 30.6 MB
  11. Multi Class Classification Part 2 - k Nearest Neighbor.srt 29.1 KB
  12. Data Project - Stock Market Analysis Part 5.mp4 36.8 MB
  12. Data Project - Stock Market Analysis Part 5.srt 36.6 KB
  12. Outliers.mp4 7.5 MB
  12. Outliers.srt 8.3 KB
  12. Support Vector Machines Part 1.mp4 23.5 MB
  12. Support Vector Machines Part 1.srt 19.1 KB
  13. Data Project - Intro to Election Analysis.mp4 14.9 MB
  13. Data Project - Intro to Election Analysis.srt 3.6 KB
  13. Permutation.mp4 4.6 MB
  13. Permutation.srt 6.6 KB
  13. Support Vector Machines - Part 2.mp4 35.9 MB
  13. Support Vector Machines - Part 2.srt 35.4 KB
  14. Data Project - Election Analysis Part 1.mp4 19.4 MB
  14. Data Project - Election Analysis Part 1.srt 24.3 KB
  14. Naive Bayes Part 1.mp4 14 MB
  14. Naive Bayes Part 1.srt 13.8 KB
  15. Data Project - Election Analysis Part 2.mp4 24.9 MB
  15. Data Project - Election Analysis Part 2.srt 27.8 KB
  15. Naive Bayes Part 2.mp4 23.2 MB
  15. Naive Bayes Part 2.srt 16.8 KB
  16. Data Project - Election Analysis Part 3.mp4 17.1 MB
  16. Data Project - Election Analysis Part 3.srt 17.1 MB
  16. Decision Trees and Random Forests.mp4 152.9 MB
  16. Decision Trees and Random Forests.srt 42.8 KB
  17. Data Project - Election Analysis Part 4.mp4 82.1 MB
  17. Data Project - Election Analysis Part 4.srt 30.5 KB
  17. Natural Language Processing Part 1.mp4 43.9 MB
  17. Natural Language Processing Part 1.srt 10.9 KB
  18. Natural Language Processing Part 2.mp4 59.7 MB
  18. Natural Language Processing Part 2.srt 21.6 KB
  19. Natural Language Processing Part 3.mp4 92.5 MB
  19. Natural Language Processing Part 3.srt 28.6 KB
  2. Course FAQs.html 6.9 KB
  2. Creating arrays.mp4 6.7 MB
  2. Creating arrays.srt 9.6 KB
  2. DataFrames.mp4 21.9 MB
  2. DataFrames.srt 21.9 KB
  2. Discrete Uniform Distribution.mp4 8.7 MB
  2. Discrete Uniform Distribution.srt 10.1 KB
  2. GroupBy on Dict and Series.mp4 11.8 MB
  2. GroupBy on Dict and Series.srt 15.3 KB
  2. Histograms.mp4 9.4 MB
  2. Histograms.srt 12.6 KB
  2. IDEs and Course Resources.mp4 30.3 MB
  2. IDEs and Course Resources.srt 16.2 KB
  2. Intro to Data Projects.mp4 6.7 MB
  2. Intro to Data Projects.srt 7.3 KB
  2. JSON with Python.mp4 4.3 MB
  2. JSON with Python.srt 5.6 KB
  2. Linear Regression Part 1.mp4 24.2 MB
  2. Linear Regression Part 1.srt 25.6 KB
  2. Merge on Index.mp4 12.3 MB
  2. Merge on Index.srt 14.5 KB
  2. Python Overview Part 2.mp4 11.1 MB
  2. Python Overview Part 2.srt 16.2 KB
  2. SQL - SELECT,DISTINCT,WHERE,AND & OR.mp4 13.5 MB
  2. SQL - SELECT,DISTINCT,WHERE,AND & OR.srt 15.1 KB
  2. Web Scraping Part 2.mp4 17.4 MB
  2. Web Scraping Part 2.srt 16.1 KB
  2.1 First Data Project.txt 307 B
  2.1 Link to Code Notebooks for Course!.html 102 B
  20. Natural Language Processing Part 4.mp4 67.1 MB
  20. Natural Language Processing Part 4.srt 21 KB
  3. Aggregation.mp4 18.6 MB
  3. Aggregation.srt 18.2 KB
  3. Concatenate.mp4 9.8 MB
  3. Concatenate.srt 12.6 KB
  3. Continuous Uniform Distribution.mp4 9.9 MB
  3. Continuous Uniform Distribution.srt 10.7 KB
  3. HTML with Python.mp4 5.7 MB
  3. HTML with Python.srt 5.6 KB
  3. Index objects.mp4 4.6 MB
  3. Index objects.srt 5.8 KB
  3. Kernel Density Estimate Plots.mp4 27 MB
  3. Kernel Density Estimate Plots.srt 33.9 KB
  3. Linear Regression Part 2.mp4 22.5 MB
  3. Linear Regression Part 2.srt 25.6 KB
  3. Python Overview Part 3.mp4 9.8 MB
  3. Python Overview Part 3.srt 14.2 KB
  3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 11.7 MB
  3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.srt 12.9 KB
  3. Titanic Project - Part 1.mp4 18.8 MB
  3. Titanic Project - Part 1.srt 23.8 KB
  3. Using arrays and scalars.mp4 4.1 MB
  3. Using arrays and scalars.srt 6.5 KB
  3. iPythonJupyter Notebook Overview.mp4 39.5 MB
  3. iPythonJupyter Notebook Overview.srt 22.7 KB
  3.1 First Data Project.txt 307 B
  3.1 Lecture 4 Info.txt 204 B
  3.2 Link to Code Notebooks for Course!.html 102 B
  4. Binomial Distribution.mp4 17 MB
  4. Binomial Distribution.srt 19.4 KB
  4. Combining DataFrames.mp4 9.6 MB
  4. Combining DataFrames.srt 12.8 KB
  4. Combining Plot Styles.mp4 5.7 MB
  4. Combining Plot Styles.srt 8.4 KB
  4. Indexing Arrays.mp4 13.3 MB
  4. Indexing Arrays.srt 18.8 KB
  4. Linear Regression Part 3.mp4 27.2 MB
  4. Linear Regression Part 3.srt 25.6 KB
  4. Microsoft Excel files with Python.mp4 3.6 MB
  4. Microsoft Excel files with Python.srt 5.3 KB
  4. Reindex.mp4 15.8 MB
  4. Reindex.srt 18.2 KB
  4. Splitting Applying and Combining.mp4 10.6 MB
  4. Splitting Applying and Combining.srt 12.1 KB
  4. Titanic Project - Part 2.mp4 17.5 MB
  4. Titanic Project - Part 2.srt 20.5 KB
  5. Array Transposition.mp4 3.7 MB
  5. Array Transposition.srt 5 KB
  5. Box and Violin Plots.mp4 8.7 MB
  5. Box and Violin Plots.srt 11 KB
  5. Cross Tabulation.mp4 4.5 MB
  5. Cross Tabulation.srt 6.8 KB
  5. Drop Entry.mp4 5 MB
  5. Drop Entry.srt 6.8 KB
  5. Linear Regression Part 4.mp4 30.9 MB
  5. Linear Regression Part 4.srt 32.5 KB
  5. Poisson Distribution.mp4 16 MB
  5. Poisson Distribution.srt 17.1 KB
  5. Reshaping.mp4 7.1 MB
  5. Reshaping.srt 9 KB
  5. Titanic Project - Part 3.mp4 16.2 MB
  5. Titanic Project - Part 3.srt 18.9 KB
  6. Logistic Regression Part 1.mp4 25 MB
  6. Logistic Regression Part 1.srt 20.2 KB
  6. Normal Distribution.mp4 8.3 MB
  6. Normal Distribution.srt 9.5 KB
  6. Pivoting.mp4 7.1 MB
  6. Pivoting.srt 8.5 KB
  6. Regression Plots.mp4 17.4 MB
  6. Regression Plots.srt 24.9 KB
  6. Selecting Entries.mp4 9.6 MB
  6. Selecting Entries.srt 11.7 KB
  6. Titanic Project - Part 4.mp4 2.5 MB
  6. Titanic Project - Part 4.srt 3.6 KB
  6. Universal Array Function.mp4 6.4 MB
  6. Universal Array Function.srt 7.7 KB
  7. Array Processing.mp4 20.5 MB
  7. Array Processing.srt 24.4 KB
  7. Data Alignment.mp4 9.5 MB
  7. Data Alignment.srt 12.2 KB
  7. Duplicates in DataFrames.mp4 5.5 MB
  7. Duplicates in DataFrames.srt 7.8 KB
  7. Heatmaps and Clustered Matrices.mp4 18.3 MB
  7. Heatmaps and Clustered Matrices.srt 22.1 KB
  7. Intro to Data Project - Stock Market Analysis.mp4 10.4 MB
  7. Intro to Data Project - Stock Market Analysis.srt 5.2 KB
  7. Logistic Regression Part 2.mp4 20.8 MB
  7. Logistic Regression Part 2.srt 19.3 KB
  7. Sampling Techniques.mp4 8.1 MB
  7. Sampling Techniques.srt 7.7 KB
  8. Array Input and Output.mp4 7.1 MB
  8. Array Input and Output.srt 9.6 KB
  8. Data Project - Stock Market Analysis Part 1.mp4 13.6 MB
  8. Data Project - Stock Market Analysis Part 1.srt 17.3 KB
  8. Logistic Regression Part 3.mp4 16.5 MB
  8. Logistic Regression Part 3.srt 14.9 KB
  8. Mapping.mp4 3.9 MB
  8. Mapping.srt 5.2 KB
  8. Rank and Sort.mp4 4.9 MB
  8. Rank and Sort.srt 7.4 KB
  8. T-Distribution.mp4 6.7 MB
  8. T-Distribution.srt 7.8 KB
  9. Data Project - Stock Market Analysis Part 2.mp4 23.4 MB
  9. Data Project - Stock Market Analysis Part 2.srt 25.5 KB
  9. Hypothesis Testing and Confidence Intervals.mp4 30.7 MB
  9. Hypothesis Testing and Confidence Intervals.srt 28.3 KB
  9. Logistic Regression Part 4.mp4 35.3 MB
  9. Logistic Regression Part 4.srt 27.6 KB
  9. Replace.mp4 2.7 MB
  9. Replace.srt 4.5 KB
  9. Summary Statistics.mp4 21.9 MB
  9. Summary Statistics.srt 29.4 KB
  [CourseClub.Me].url 0 B
  [DesireCourse.Net].url 0 B
  [FreeCourseWorld.Com].url 102 B
  ▲ 228 total files

Description


Learning Python For Data Analysis And Visualization

Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!

For More Courses Visit: https://desirecourse.net

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