PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Machine learning with Complete Python (Basic to Advanced)\15. Machine learning series |
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 1. Introduction to predictive modeling.mp4 | 10,181 KB | 12/12/2021 12:34 PM |
| 1. Introduction to predictive modeling.srt | 4 KB | 12/12/2021 12:34 PM |
| 10. VI implementation.mp4 | 9,290 KB | 12/12/2021 12:34 PM |
| 10. VI implementation.srt | 3 KB | 12/12/2021 12:34 PM |
| 11. univariate analysis for continuous variable.mp4 | 20,900 KB | 12/12/2021 12:34 PM |
| 11. univariate analysis for continuous variable.srt | 9 KB | 12/12/2021 12:34 PM |
| 12. univariate analysis for continuous variable implementation.mp4 | 26,534 KB | 12/12/2021 12:34 PM |
| 12. univariate analysis for continuous variable implementation.srt | 5 KB | 12/12/2021 12:34 PM |
| 13. understanding UA for categorical variables.mp4 | 10,178 KB | 12/12/2021 12:34 PM |
| 13. understanding UA for categorical variables.srt | 4 KB | 12/12/2021 12:34 PM |
| 14. UA for CA implementation.mp4 | 25,833 KB | 12/12/2021 12:34 PM |
| 14. UA for CA implementation.srt | 6 KB | 12/12/2021 12:34 PM |
| 15. understanding bivariate analysis.mp4 | 38,964 KB | 12/12/2021 12:34 PM |
| 15. understanding bivariate analysis.srt | 14 KB | 12/12/2021 12:34 PM |
| 16. BA implementation.mp4 | 75,319 KB | 12/12/2021 12:34 PM |
| 16. BA implementation.srt | 12 KB | 12/12/2021 12:34 PM |
| 17. Understanding and treating missing values.mp4 | 17,430 KB | 12/12/2021 12:34 PM |
| 17. Understanding and treating missing values.srt | 7 KB | 12/12/2021 12:34 PM |
| 18. treating missing values implementation.mp4 | 73,731 KB | 12/12/2021 12:34 PM |
| 18. treating missing values implementation.srt | 11 KB | 12/12/2021 12:34 PM |
| 19. understanding outliner treatment.mp4 | 15,057 KB | 12/12/2021 12:34 PM |
| 19. understanding outliner treatment.srt | 6 KB | 12/12/2021 12:34 PM |
| 2. types of predictive models.mp4 | 15,554 KB | 12/12/2021 12:34 PM |
| 2. types of predictive models.srt | 5 KB | 12/12/2021 12:34 PM |
| 20. OT implementation.mp4 | 40,482 KB | 12/12/2021 12:34 PM |
| 20. OT implementation.srt | 7 KB | 12/12/2021 12:34 PM |
| 21. understanding variables Transforming.mp4 | 13,009 KB | 12/12/2021 12:34 PM |
| 21. understanding variables Transforming.srt | 6 KB | 12/12/2021 12:34 PM |
| 22. implementation variables transforming.mp4 | 26,988 KB | 12/12/2021 12:34 PM |
| 22. implementation variables transforming.srt | 6 KB | 12/12/2021 12:34 PM |
| 23. basic of model building.mp4 | 16,192 KB | 12/12/2021 12:34 PM |
| 23. basic of model building.srt | 7 KB | 12/12/2021 12:34 PM |
| 3. states of predictive modeling.mp4 | 8,087 KB | 12/12/2021 12:34 PM |
| 3. states of predictive modeling.srt | 3 KB | 12/12/2021 12:34 PM |
| 4. understanding hypothesis generation.mp4 | 7,389 KB | 12/12/2021 12:34 PM |
| 4. understanding hypothesis generation.srt | 4 KB | 12/12/2021 12:34 PM |
| 5. data extraction.mp4 | 3,649 KB | 12/12/2021 12:34 PM |
| 5. data extraction.srt | 2 KB | 12/12/2021 12:34 PM |
| 6. understanding data exploration.mp4 | 8,662 KB | 12/12/2021 12:34 PM |
| 6. understanding data exploration.srt | 4 KB | 12/12/2021 12:34 PM |
| 7. reading the data into python.mp4 | 2,507 KB | 12/12/2021 12:34 PM |
| 7. reading the data into python.srt | 2 KB | 12/12/2021 12:34 PM |
| 8. RD implementation.mp4 | 7,648 KB | 12/12/2021 12:34 PM |
| 8. RD implementation.srt | 3 KB | 12/12/2021 12:34 PM |
| 9. variables identification.mp4 | 17,236 KB | 12/12/2021 12:34 PM |
| 9. variables identification.srt | 7 KB | 12/12/2021 12:34 PM |
