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

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  • 10. Machine Learning/16. Decision Trees and Random Forests.mp4 152.94 MB
    10. Machine Learning/19. Natural Language Processing Part 3.mp4 92.56 MB
    9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 82.1 MB
    10. Machine Learning/20. Natural Language Processing Part 4.mp4 67.12 MB
    10. Machine Learning/18. Natural Language Processing Part 2.mp4 59.74 MB
    10. Machine Learning/17. Natural Language Processing Part 1.mp4 43.88 MB
    2. Setup/3. iPythonJupyter Notebook Overview.mp4 39.45 MB
    9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 36.83 MB
    10. Machine Learning/13. Support Vector Machines - Part 2.mp4 35.95 MB
    10. Machine Learning/9. Logistic Regression Part 4.mp4 35.26 MB
    10. Machine Learning/5. Linear Regression Part 4.mp4 30.87 MB
    11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 30.69 MB
    10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 30.63 MB
    2. Setup/2. IDEs and Course Resources.mp4 30.35 MB
    10. Machine Learning/4. Linear Regression Part 3.mp4 27.19 MB
    8. Data Visualization/3. Kernel Density Estimate Plots.mp4 27.03 MB
    10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 26.81 MB
    9. Example Projects/1. Data Projects Preview.mp4 25.8 MB
    10. Machine Learning/6. Logistic Regression Part 1.mp4 25.03 MB
    9. Example Projects/15. Data Project - Election Analysis Part 2.mp4 24.9 MB
    2. Setup/1. Installation Setup and Overview.mp4 24.37 MB
    10. Machine Learning/2. Linear Regression Part 1.mp4 24.17 MB
    10. Machine Learning/12. Support Vector Machines Part 1.mp4 23.54 MB
    9. Example Projects/9. Data Project - Stock Market Analysis Part 2.mp4 23.43 MB
    10. Machine Learning/15. Naive Bayes Part 2.mp4 23.24 MB
    10. Machine Learning/3. Linear Regression Part 2.mp4 22.46 MB
    10. Machine Learning/3. Linear Regression Part 2.vtt 22.46 MB
    4. Intro to Pandas/9. Summary Statistics.mp4 21.95 MB
    4. Intro to Pandas/2. DataFrames.mp4 21.85 MB
    10. Machine Learning/7. Logistic Regression Part 2.mp4 20.8 MB
    3. Learning Numpy/7. Array Processing.mp4 20.53 MB
    9. Example Projects/14. Data Project - Election Analysis Part 1.mp4 19.41 MB
    9. Example Projects/3. Titanic Project - Part 1.mp4 18.82 MB
    7. Working with Data Part 3/3. Aggregation.mp4 18.65 MB
    6. Working with Data Part 2/1. Merge.mp4 18.58 MB
    8. Data Visualization/7. Heatmaps and Clustered Matrices.mp4 18.26 MB
    10. Machine Learning/1. Introduction to Machine Learning with SciKit Learn.mp4 17.93 MB
    9. Example Projects/4. Titanic Project - Part 2.mp4 17.52 MB
    8. Data Visualization/6. Regression Plots.mp4 17.42 MB
    14. Appendix Python Special Offers/1. Python Overview Part 1.mp4 17.4 MB
    13. Appendix Web Scraping with Python/2. Web Scraping Part 2.mp4 17.38 MB
    7. Working with Data Part 3/1. GroupBy on DataFrames.mp4 17.17 MB
    9. Example Projects/16. Data Project - Election Analysis Part 3.mp4 17.12 MB
    11. Appendix Statistics Overview/4. Binomial Distribution.mp4 17.02 MB
    9. Example Projects/10. Data Project - Stock Market Analysis Part 3.mp4 16.61 MB
    10. Machine Learning/8. Logistic Regression Part 3.mp4 16.54 MB
    12. Appendix SQL and Python/1. Introduction to SQL with Python.mp4 16.4 MB
    9. Example Projects/5. Titanic Project - Part 3.mp4 16.2 MB
    11. Appendix Statistics Overview/5. Poisson Distribution.mp4 16 MB
    4. Intro to Pandas/4. Reindex.mp4 15.83 MB
    4. Intro to Pandas/4. Reindex.vtt 15.83 MB
    9. Example Projects/13. Data Project - Intro to Election Analysis.mp4 14.91 MB
    9. Example Projects/13. Data Project - Intro to Election Analysis.vtt 14.91 MB
    13. Appendix Web Scraping with Python/1. Web Scraping Part 1.mp4 14.54 MB
    11. Appendix Statistics Overview/11. Bayes Theorem.mp4 14.47 MB
    10. Machine Learning/14. Naive Bayes Part 1.mp4 14.05 MB
    9. Example Projects/8. Data Project - Stock Market Analysis Part 1.mp4 13.64 MB
    12. Appendix SQL and Python/2. SQL - SELECT,DISTINCT,WHERE,AND & OR.mp4 13.46 MB
    3. Learning Numpy/4. Indexing Arrays.mp4 13.27 MB
    4. Intro to Pandas/1. Series.mp4 12.59 MB
    6. Working with Data Part 2/2. Merge on Index.mp4 12.31 MB
    4. Intro to Pandas/11. Index Hierarchy.mp4 12.21 MB
    7. Working with Data Part 3/2. GroupBy on Dict and Series.mp4 11.84 MB
    12. Appendix SQL and Python/3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 11.72 MB
    14. Appendix Python Special Offers/2. Python Overview Part 2.mp4 11.08 MB
    10. Machine Learning/2. Linear Regression Part 1.vtt 10.89 MB
    7. Working with Data Part 3/4. Splitting Applying and Combining.mp4 10.58 MB
    5. Working with Data Part 1/1. Reading and Writing Text Files.mp4 10.4 MB
    9. Example Projects/7. Intro to Data Project - Stock Market Analysis.mp4 10.37 MB
    4. Intro to Pandas/10. Missing Data.mp4 9.93 MB
    11. Appendix Statistics Overview/3. Continuous Uniform Distribution.mp4 9.87 MB
    14. Appendix Python Special Offers/3. Python Overview Part 3.mp4 9.82 MB
    9. Example Projects/11. Data Project - Stock Market Analysis Part 4.mp4 9.8 MB
    6. Working with Data Part 2/3. Concatenate.mp4 9.76 MB
    6. Working with Data Part 2/4. Combining DataFrames.mp4 9.65 MB
    4. Intro to Pandas/6. Selecting Entries.mp4 9.56 MB
    4. Intro to Pandas/7. Data Alignment.mp4 9.53 MB
    8. Data Visualization/2. Histograms.mp4 9.38 MB
    8. Data Visualization/5. Box and Violin Plots.mp4 8.7 MB
    11. Appendix Statistics Overview/2. Discrete Uniform Distribution.mp4 8.67 MB
    11. Appendix Statistics Overview/6. Normal Distribution.mp4 8.29 MB
    11. Appendix Statistics Overview/7. Sampling Techniques.mp4 8.13 MB
    6. Working with Data Part 2/12. Outliers.mp4 7.52 MB
    6. Working with Data Part 2/6. Pivoting.mp4 7.13 MB
    6. Working with Data Part 2/5. Reshaping.mp4 7.11 MB
    3. Learning Numpy/8. Array Input and Output.mp4 7.1 MB
    3. Learning Numpy/2. Creating arrays.mp4 6.7 MB
    9. Example Projects/2. Intro to Data Projects.mp4 6.66 MB
    11. Appendix Statistics Overview/8. T-Distribution.mp4 6.66 MB
    3. Learning Numpy/6. Universal Array Function.mp4 6.39 MB
    6. Working with Data Part 2/11. Binning.mp4 6.25 MB
    1. Intro to Course and Python/1. Course Intro.mp4 5.9 MB
    8. Data Visualization/4. Combining Plot Styles.mp4 5.72 MB
    5. Working with Data Part 1/3. HTML with Python.mp4 5.72 MB
    11. Appendix Statistics Overview/10. Chi Square Test and Distribution.mp4 5.61 MB
    6. Working with Data Part 2/7. Duplicates in DataFrames.mp4 5.46 MB
    6. Working with Data Part 2/10. Rename Index.mp4 5.23 MB
    4. Intro to Pandas/5. Drop Entry.mp4 5.01 MB
    4. Intro to Pandas/8. Rank and Sort.mp4 4.87 MB
    4. Intro to Pandas/3. Index objects.mp4 4.6 MB
    6. Working with Data Part 2/13. Permutation.mp4 4.57 MB
    7. Working with Data Part 3/5. Cross Tabulation.mp4 4.51 MB
    5. Working with Data Part 1/2. JSON with Python.mp4 4.27 MB
    3. Learning Numpy/3. Using arrays and scalars.mp4 4.09 MB
    6. Working with Data Part 2/8. Mapping.mp4 3.86 MB
    3. Learning Numpy/5. Array Transposition.mp4 3.73 MB
    5. Working with Data Part 1/4. Microsoft Excel files with Python.mp4 3.66 MB
    11. Appendix Statistics Overview/1. Intro to Appendix B.mp4 2.97 MB
    6. Working with Data Part 2/9. Replace.mp4 2.71 MB
    9. Example Projects/6. Titanic Project - Part 4.mp4 2.46 MB
    8. Data Visualization/1. Installing Seaborn.mp4 2.4 MB
    10. Machine Learning/16. Decision Trees and Random Forests.vtt 37.52 KB
    9. Example Projects/12. Data Project - Stock Market Analysis Part 5.vtt 33.2 KB
    10. Machine Learning/13. Support Vector Machines - Part 2.vtt 31.08 KB
    8. Data Visualization/3. Kernel Density Estimate Plots.vtt 30.72 KB
    10. Machine Learning/5. Linear Regression Part 4.vtt 29.49 KB
    9. Example Projects/17. Data Project - Election Analysis Part 4.vtt 26.66 KB
    4. Intro to Pandas/9. Summary Statistics.vtt 26.62 KB
    10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.vtt 25.51 KB
    9. Example Projects/15. Data Project - Election Analysis Part 2.vtt 25.28 KB
    11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.vtt 25.16 KB
    10. Machine Learning/19. Natural Language Processing Part 3.vtt 25 KB
    10. Machine Learning/9. Logistic Regression Part 4.vtt 24.52 KB
    10. Machine Learning/4. Linear Regression Part 3.vtt 23.33 KB
    9. Example Projects/9. Data Project - Stock Market Analysis Part 2.vtt 23.15 KB
    8. Data Visualization/6. Regression Plots.vtt 22.46 KB
    9. Example Projects/14. Data Project - Election Analysis Part 1.vtt 22.1 KB
    3. Learning Numpy/7. Array Processing.vtt 21.93 KB
    9. Example Projects/3. Titanic Project - Part 1.vtt 21.6 KB
    6. Working with Data Part 2/1. Merge.vtt 20.89 KB
    14. Appendix Python Special Offers/1. Python Overview Part 1.vtt 20.85 KB
    10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.vtt 20.83 KB
    7. Working with Data Part 3/1. GroupBy on DataFrames.vtt 19.96 KB
    8. Data Visualization/7. Heatmaps and Clustered Matrices.vtt 19.92 KB
    9. Example Projects/16. Data Project - Election Analysis Part 3.vtt 19.43 KB
    2. Setup/3. iPythonJupyter Notebook Overview.vtt 19.39 KB
    4. Intro to Pandas/2. DataFrames.vtt 18.87 KB
    9. Example Projects/4. Titanic Project - Part 2.vtt 18.61 KB
    10. Machine Learning/18. Natural Language Processing Part 2.vtt 18.56 KB
    10. Machine Learning/20. Natural Language Processing Part 4.vtt 18.54 KB
    10. Machine Learning/6. Logistic Regression Part 1.vtt 18.28 KB
    10. Machine Learning/1. Introduction to Machine Learning with SciKit Learn.vtt 17.84 KB
    11. Appendix Statistics Overview/4. Binomial Distribution.vtt 17.58 KB
    9. Example Projects/5. Titanic Project - Part 3.vtt 17.19 KB
    3. Learning Numpy/4. Indexing Arrays.vtt 16.96 KB
    10. Machine Learning/7. Logistic Regression Part 2.vtt 16.81 KB
    10. Machine Learning/12. Support Vector Machines Part 1.vtt 16.75 KB
    7. Working with Data Part 3/3. Aggregation.vtt 16.49 KB
    13. Appendix Web Scraping with Python/1. Web Scraping Part 1.vtt 16.26 KB
    4. Intro to Pandas/11. Index Hierarchy.vtt 15.89 KB
    9. Example Projects/8. Data Project - Stock Market Analysis Part 1.vtt 15.64 KB
    11. Appendix Statistics Overview/5. Poisson Distribution.vtt 15.54 KB
    4. Intro to Pandas/1. Series.vtt 14.98 KB
    10. Machine Learning/15. Naive Bayes Part 2.vtt 14.97 KB
    12. Appendix SQL and Python/1. Introduction to SQL with Python.vtt 14.94 KB
    14. Appendix Python Special Offers/2. Python Overview Part 2.vtt 14.65 KB
    13. Appendix Web Scraping with Python/2. Web Scraping Part 2.vtt 14.58 KB
    7. Working with Data Part 3/2. GroupBy on Dict and Series.vtt 13.9 KB
    12. Appendix SQL and Python/2. SQL - SELECT,DISTINCT,WHERE,AND & OR.vtt 13.79 KB
    2. Setup/2. IDEs and Course Resources.vtt 13.79 KB
    9. Example Projects/10. Data Project - Stock Market Analysis Part 3.vtt 13.62 KB
    6. Working with Data Part 2/2. Merge on Index.vtt 13.15 KB
    10. Machine Learning/8. Logistic Regression Part 3.vtt 13.04 KB
    4. Intro to Pandas/10. Missing Data.vtt 13.02 KB
    14. Appendix Python Special Offers/3. Python Overview Part 3.vtt 12.88 KB
    10. Machine Learning/14. Naive Bayes Part 1.vtt 12.85 KB
    11. Appendix Statistics Overview/11. Bayes Theorem.vtt 12.69 KB
    5. Working with Data Part 1/1. Reading and Writing Text Files.vtt 11.92 KB
    12. Appendix SQL and Python/3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.vtt 11.78 KB
    6. Working with Data Part 2/4. Combining DataFrames.vtt 11.55 KB
    8. Data Visualization/2. Histograms.vtt 11.5 KB
    6. Working with Data Part 2/3. Concatenate.vtt 11.46 KB
    4. Intro to Pandas/7. Data Alignment.vtt 11.04 KB
    7. Working with Data Part 3/4. Splitting Applying and Combining.vtt 11.02 KB
    4. Intro to Pandas/6. Selecting Entries.vtt 10.57 KB
    8. Data Visualization/5. Box and Violin Plots.vtt 10.1 KB
    11. Appendix Statistics Overview/3. Continuous Uniform Distribution.vtt 9.76 KB
    10. Machine Learning/17. Natural Language Processing Part 1.vtt 9.69 KB
    11. Appendix Statistics Overview/2. Discrete Uniform Distribution.vtt 9.24 KB
    2. Setup/1. Installation Setup and Overview.vtt 8.86 KB
    9. Example Projects/11. Data Project - Stock Market Analysis Part 4.vtt 8.8 KB
    3. Learning Numpy/2. Creating arrays.vtt 8.76 KB
    11. Appendix Statistics Overview/6. Normal Distribution.vtt 8.7 KB
    3. Learning Numpy/8. Array Input and Output.vtt 8.68 KB
    6. Working with Data Part 2/5. Reshaping.vtt 8.18 KB
    6. Working with Data Part 2/6. Pivoting.vtt 7.76 KB
    8. Data Visualization/4. Combining Plot Styles.vtt 7.62 KB
    6. Working with Data Part 2/12. Outliers.vtt 7.59 KB
    6. Working with Data Part 2/11. Binning.vtt 7.24 KB
    11. Appendix Statistics Overview/8. T-Distribution.vtt 7.14 KB
    6. Working with Data Part 2/7. Duplicates in DataFrames.vtt 7.09 KB
    11. Appendix Statistics Overview/7. Sampling Techniques.vtt 7.08 KB
    3. Learning Numpy/6. Universal Array Function.vtt 7 KB
    1. Intro to Course and Python/2. Course FAQs.html 6.95 KB
    4. Intro to Pandas/8. Rank and Sort.vtt 6.77 KB
    9. Example Projects/2. Intro to Data Projects.vtt 6.75 KB
    6. Working with Data Part 2/10. Rename Index.vtt 6.64 KB
    4. Intro to Pandas/5. Drop Entry.vtt 6.17 KB
    7. Working with Data Part 3/5. Cross Tabulation.vtt 6.17 KB
    15. BONUS SPECIAL DISCOUNT COUPONS/1. Bonus Lecture Coupons.html 5.99 KB
    3. Learning Numpy/3. Using arrays and scalars.vtt 5.95 KB
    6. Working with Data Part 2/13. Permutation.vtt 5.68 KB
    4. Intro to Pandas/3. Index objects.vtt 5.27 KB
    1. Intro to Course and Python/1. Course Intro.vtt 5.25 KB
    5. Working with Data Part 1/2. JSON with Python.vtt 5.15 KB
    5. Working with Data Part 1/3. HTML with Python.vtt 5.1 KB
    5. Working with Data Part 1/4. Microsoft Excel files with Python.vtt 4.86 KB
    9. Example Projects/1. Data Projects Preview.vtt 4.82 KB
    9. Example Projects/7. Intro to Data Project - Stock Market Analysis.vtt 4.78 KB
    6. Working with Data Part 2/8. Mapping.vtt 4.75 KB
    3. Learning Numpy/5. Array Transposition.vtt 4.54 KB
    11. Appendix Statistics Overview/1. Intro to Appendix B.vtt 4.23 KB
    6. Working with Data Part 2/9. Replace.vtt 4.1 KB
    11. Appendix Statistics Overview/10. Chi Square Test and Distribution.vtt 3.89 KB
    9. Example Projects/6. Titanic Project - Part 4.vtt 3.33 KB
    8. Data Visualization/1. Installing Seaborn.vtt 2.47 KB
    3. Learning Numpy/1. Intro to numpy.html 917 B
    [DesireCourse.Com].txt 754 B
    9. Example Projects/2.1 First Data Project.txt 302 B
    9. Example Projects/3.1 First Data Project.txt 302 B
    2. Setup/3.1 Lecture 4 Info.txt 176 B
    2. Setup/1.1 Link for FAQ.html 149 B
    2. Setup/1.2 Link to Code Notebooks for Course!.html 131 B
    2. Setup/2.1 Link to Code Notebooks for Course!.html 131 B
    2. Setup/3.2 Link to Code Notebooks for Course!.html 131 B
    11. Appendix Statistics Overview/1.1 Viewer Link For Stats Notes.txt 119 B
    [DesireCourse.Com].url 51 B

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