11. Regularization to ML Libraries
11. Regularization to ML Libraries
The following lecture covers these topics:
Regularization, Gradient Descent, Slope
Confusion Matrix
Handling Null Values
Standardization
Handling Categorial Values
One-Hot Encoding
Feature Scaling
ML Libraries
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