PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\18. SQL + Tableau + Python\3. Preprocessing the 'Absenteeism_data' |
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 1. Importing the Data Set in Python.mp4 | 13,340 KB | 12/12/2021 3:34 AM |
| 10. Concatenating Column Values.mp4 | 18,821 KB | 12/12/2021 3:34 AM |
| 11. Reordering Columns.mp4 | 7,105 KB | 12/12/2021 3:34 AM |
| 12. Creating Checkpoints in Jupyter.mp4 | 13,323 KB | 12/12/2021 3:34 AM |
| 13. Working on the 'Date' Column.mp4 | 27,224 KB | 12/12/2021 3:34 AM |
| 14. Extracting the Month Value.mp4 | 24,692 KB | 12/12/2021 3:34 AM |
| 15. Creating the 'Day of the Week' Column.mp4 | 15,442 KB | 12/12/2021 3:34 AM |
| 16. Analyzing the Next 5 Columns in our DataFrame.mp4 | 14,447 KB | 12/12/2021 3:34 AM |
| 17. Modifying 'Education' and discussing 'Children' and 'Pets'.mp4 | 19,245 KB | 12/12/2021 3:34 AM |
| 18. Final Remarks on the Data Preprocessing Part of the Exercise.mp4 | 22,576 KB | 12/12/2021 3:34 AM |
| 2. Eyeballing the Data.mp4 | 40,303 KB | 12/12/2021 3:34 AM |
| 3. Introduction to Terms with Multiple Meanings.mp4 | 20,540 KB | 12/12/2021 3:34 AM |
| 4. An Analytical Approach to Solving the Task.mp4 | 11,195 KB | 12/12/2021 3:34 AM |
| 5. Dropping the 'ID' Column.mp4 | 35,160 KB | 12/12/2021 3:34 AM |
| 6. Analysis of the 'Reason for Absence' Column.mp4 | 20,738 KB | 12/12/2021 3:34 AM |
| 7. Converting a Feature into Multiple Dummy Variables.mp4 | 47,817 KB | 12/12/2021 3:34 AM |
| 8. Working with Dummy Variables from a Statistical Perspective.mp4 | 5,891 KB | 12/12/2021 3:34 AM |
| 9. Grouping the Various Reasons for Absence.mp4 | 39,414 KB | 12/12/2021 3:34 AM |
