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.mp410,181 KB12/12/2021 3:34 AM
1. Introduction to predictive modeling.srt4 KB12/12/2021 3:34 AM
10. VI implementation.mp49,290 KB12/12/2021 3:34 AM
10. VI implementation.srt3 KB12/12/2021 3:34 AM
11. univariate analysis for continuous variable.mp420,900 KB12/12/2021 3:34 AM
11. univariate analysis for continuous variable.srt9 KB12/12/2021 3:34 AM
12. univariate analysis for continuous variable implementation.mp426,534 KB12/12/2021 3:34 AM
12. univariate analysis for continuous variable implementation.srt5 KB12/12/2021 3:34 AM
13. understanding UA for categorical variables.mp410,178 KB12/12/2021 3:34 AM
13. understanding UA for categorical variables.srt4 KB12/12/2021 3:34 AM
14. UA for CA implementation.mp425,833 KB12/12/2021 3:34 AM
14. UA for CA implementation.srt6 KB12/12/2021 3:34 AM
15. understanding bivariate analysis.mp438,964 KB12/12/2021 3:34 AM
15. understanding bivariate analysis.srt14 KB12/12/2021 3:34 AM
16. BA implementation.mp475,319 KB12/12/2021 3:34 AM
16. BA implementation.srt12 KB12/12/2021 3:34 AM
17. Understanding and treating missing values.mp417,430 KB12/12/2021 3:34 AM
17. Understanding and treating missing values.srt7 KB12/12/2021 3:34 AM
18. treating missing values implementation.mp473,731 KB12/12/2021 3:34 AM
18. treating missing values implementation.srt11 KB12/12/2021 3:34 AM
19. understanding outliner treatment.mp415,057 KB12/12/2021 3:34 AM
19. understanding outliner treatment.srt6 KB12/12/2021 3:34 AM
2. types of predictive models.mp415,554 KB12/12/2021 3:34 AM
2. types of predictive models.srt5 KB12/12/2021 3:34 AM
20. OT implementation.mp440,482 KB12/12/2021 3:34 AM
20. OT implementation.srt7 KB12/12/2021 3:34 AM
21. understanding variables Transforming.mp413,009 KB12/12/2021 3:34 AM
21. understanding variables Transforming.srt6 KB12/12/2021 3:34 AM
22. implementation variables transforming.mp426,988 KB12/12/2021 3:34 AM
22. implementation variables transforming.srt6 KB12/12/2021 3:34 AM
23. basic of model building.mp416,192 KB12/12/2021 3:34 AM
23. basic of model building.srt7 KB12/12/2021 3:34 AM
3. states of predictive modeling.mp48,087 KB12/12/2021 3:34 AM
3. states of predictive modeling.srt3 KB12/12/2021 3:34 AM
4. understanding hypothesis generation.mp47,389 KB12/12/2021 3:34 AM
4. understanding hypothesis generation.srt4 KB12/12/2021 3:34 AM
5. data extraction.mp43,649 KB12/12/2021 3:34 AM
5. data extraction.srt2 KB12/12/2021 3:34 AM
6. understanding data exploration.mp48,662 KB12/12/2021 3:34 AM
6. understanding data exploration.srt4 KB12/12/2021 3:34 AM
7. reading the data into python.mp42,507 KB12/12/2021 3:34 AM
7. reading the data into python.srt2 KB12/12/2021 3:34 AM
8. RD implementation.mp47,648 KB12/12/2021 3:34 AM
8. RD implementation.srt3 KB12/12/2021 3:34 AM
9. variables identification.mp417,236 KB12/12/2021 3:34 AM
9. variables identification.srt7 KB12/12/2021 3:34 AM