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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
FE242C1700097BD0A91B8F1AB8D7EE183A133C2D
Source
Unverified
Total Size
2.87 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
1. Introduction/1. Introduction to Pandas with Python.mp437.11 MB
1. Introduction/1. Introduction to Pandas with Python.vtt5.35 KB
2. Data Set/1. Understanding Jupiter Environment.mp420.94 MB
2. Data Set/1. Understanding Jupiter Environment.vtt4.25 KB
2. Data Set/2. Reading the Data Set.mp459.03 MB
2. Data Set/2. Reading the Data Set.vtt9.12 KB
2. Data Set/3. Series and Data Frame.mp420.68 MB
2. Data Set/3. Series and Data Frame.vtt3.57 KB
2. Data Set/4. Operations in Data Set.mp425.47 MB
2. Data Set/4. Operations in Data Set.vtt4.04 KB
2. Data Set/5. More on Panda Functions.mp447.2 MB
2. Data Set/5. More on Panda Functions.vtt6.85 KB
2. Data Set/6. Column Names and Operation.mp478.68 MB
2. Data Set/6. Column Names and Operation.vtt9.42 KB
2. Data Set/7. Removing Columns and Rows.mp421.43 MB
2. Data Set/7. Removing Columns and Rows.vtt2.83 KB
2. Data Set/8. Sorting Data Frame.mp429.27 MB
2. Data Set/8. Sorting Data Frame.vtt2.79 KB
2. Data Set/9. Filtering Data.mp458.98 MB
2. Data Set/9. Filtering Data.vtt7.64 KB
3. Data Analysis/1. Filter Multiple Criteria.mp450.97 MB
3. Data Analysis/1. Filter Multiple Criteria.vtt5.74 KB
3. Data Analysis/10. Plotting series in Pandas.mp422.46 MB
3. Data Analysis/10. Plotting series in Pandas.vtt3.81 KB
3. Data Analysis/11. Dealing with Null Values.mp435.56 MB
3. Data Analysis/11. Dealing with Null Values.vtt5.05 KB
3. Data Analysis/12. Uses of Index.mp449.22 MB
3. Data Analysis/12. Uses of Index.vtt6.27 KB
3. Data Analysis/13. Column in Index.mp452.23 MB
3. Data Analysis/13. Column in Index.vtt6.7 KB
3. Data Analysis/14. Output of Data.mp447.9 MB
3. Data Analysis/14. Output of Data.vtt8.33 KB
3. Data Analysis/15. Functions of iX Method.mp470.98 MB
3. Data Analysis/15. Functions of iX Method.vtt9.45 KB
3. Data Analysis/16. InPlace Parameter.mp434.42 MB
3. Data Analysis/16. InPlace Parameter.vtt4.54 KB
3. Data Analysis/17. Inspecting the Space.mp431.44 MB
3. Data Analysis/17. Inspecting the Space.vtt5.07 KB
3. Data Analysis/18. Reducing the Space.mp469.87 MB
3. Data Analysis/18. Reducing the Space.vtt10.27 KB
3. Data Analysis/19. Using in Country Series.mp427.93 MB
3. Data Analysis/19. Using in Country Series.vtt4.04 KB
3. Data Analysis/2. Selective Columns and Rows.mp417.86 MB
3. Data Analysis/2. Selective Columns and Rows.vtt3.23 KB
3. Data Analysis/20. Creating Manual Data Frame.mp432.66 MB
3. Data Analysis/20. Creating Manual Data Frame.vtt32.66 MB
3. Data Analysis/21. Random Sampling with Pandas.mp431.36 MB
3. Data Analysis/21. Random Sampling with Pandas.vtt3.72 KB
3. Data Analysis/22. Concept of Dummy Coding.mp482.49 MB
3. Data Analysis/22. Concept of Dummy Coding.vtt11.69 KB
3. Data Analysis/23. Creating Dummified Values.mp482.44 MB
3. Data Analysis/23. Creating Dummified Values.vtt11.69 KB
3. Data Analysis/24. Duplicates in Data Frame.mp448.64 MB
3. Data Analysis/24. Duplicates in Data Frame.vtt17.29 MB
3. Data Analysis/25. Functions for Date and Time.mp468.9 MB
3. Data Analysis/25. Functions for Date and Time.vtt62.44 MB
3. Data Analysis/26. Setting with Copy Warning.mp437.7 MB
3. Data Analysis/26. Setting with Copy Warning.vtt5.13 KB
3. Data Analysis/27. Example on Copy Warning.mp435.34 MB
3. Data Analysis/27. Example on Copy Warning.vtt35.35 MB
3. Data Analysis/28. Changing the Display Option.mp439.66 MB
3. Data Analysis/28. Changing the Display Option.vtt39.66 MB
3. Data Analysis/29. Formatting the Data.mp453.04 MB
3. Data Analysis/29. Formatting the Data.vtt53.06 MB
3. Data Analysis/3. Data Frame and Series.mp411.16 MB
3. Data Analysis/3. Data Frame and Series.vtt2.29 KB
3. Data Analysis/30. Tricks for Display Options.mp439.82 MB
3. Data Analysis/30. Tricks for Display Options.vtt31.65 MB
3. Data Analysis/31. Data with Rows and Columns.mp441.09 MB
3. Data Analysis/31. Data with Rows and Columns.vtt7.77 KB
3. Data Analysis/32. Converting Data Frame.mp418.45 MB
3. Data Analysis/32. Converting Data Frame.vtt3.91 KB
3. Data Analysis/4. Axis Parameter.mp428.86 MB
3. Data Analysis/4. Axis Parameter.vtt3.08 KB
3. Data Analysis/5. String Methods in Pandas.mp428.94 MB
3. Data Analysis/5. String Methods in Pandas.vtt4.02 KB
3. Data Analysis/6. Changing the Data Types.mp431.5 MB
3. Data Analysis/6. Changing the Data Types.vtt4.17 KB
3. Data Analysis/7. Example of Data Type Change.mp427.59 MB
3. Data Analysis/7. Example of Data Type Change.vtt4.82 KB
3. Data Analysis/8. Group by Functions.mp430.97 MB
3. Data Analysis/8. Group by Functions.vtt4.43 KB
3. Data Analysis/9. Functions on Series.mp430.77 MB
3. Data Analysis/9. Functions on Series.vtt4.58 KB
4. Azure Data Lake/1. Introduction to Azure Data Lake.mp447.42 MB
4. Azure Data Lake/1. Introduction to Azure Data Lake.vtt6.28 KB
4. Azure Data Lake/10. More on Crosstab.mp467.57 MB
4. Azure Data Lake/10. More on Crosstab.vtt7.89 KB
4. Azure Data Lake/11. More Options with Crosstab.mp480.08 MB
4. Azure Data Lake/11. More Options with Crosstab.vtt9.01 KB
4. Azure Data Lake/12. Functions of Pivot.mp429.92 MB
4. Azure Data Lake/12. Functions of Pivot.vtt3.58 KB
4. Azure Data Lake/13. Pivot Table Method.mp462.54 MB
4. Azure Data Lake/13. Pivot Table Method.vtt6.2 KB
4. Azure Data Lake/14. Example on Pivot Table.mp488.07 MB
4. Azure Data Lake/14. Example on Pivot Table.vtt9.41 KB
4. Azure Data Lake/15. Data Frame to CSV File.mp457.34 MB
4. Azure Data Lake/15. Data Frame to CSV File.vtt6.26 KB
4. Azure Data Lake/16. Using Excel Functions.mp458.7 MB
4. Azure Data Lake/16. Using Excel Functions.vtt7.49 KB

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