11. Regularization to ML Libraries

The following lecture covers these topics:

1. Regularization, Gradient Descent, Slope
2. Confusion Matrix
3. Handling Null Values
4. Standardization
5. Handling Categorial Values
6. One-Hot Encoding
7. Feature Scaling
8. ML Libraries