PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\15. Advanced Statistical Methods in Python\3. Linear Regression with sklearn

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1. What is sklearn.mp459,306 KB12/12/2021 3:34 AM
10. Feature Selection through Standardization.mp431,364 KB12/12/2021 3:34 AM
11. Making Predictions with Standardized Coefficients.mp420,504 KB12/12/2021 3:34 AM
12. Underfitting and Overfitting.mp418,827 KB12/12/2021 3:34 AM
13. Training and Testing.mp436,668 KB12/12/2021 3:34 AM
2. Game Plan for sklearn.mp418,548 KB12/12/2021 3:34 AM
3. Simple Linear Regression with sklearn.mp430,412 KB12/12/2021 3:34 AM
4. Simple Linear Regression with sklearn - Summary Table.mp425,861 KB12/12/2021 3:34 AM
5. Multiple Linear Regression with sklearn.mp415,549 KB12/12/2021 3:34 AM
6. Adjusted R-Squared.mp423,764 KB12/12/2021 3:34 AM
7. Feature Selection through p-values (F-regression).mp426,274 KB12/12/2021 3:34 AM
8. Creating a Summary Table with the p-values.mp49,734 KB12/12/2021 3:34 AM
9. Feature Scaling.mp434,794 KB12/12/2021 3:34 AM