ML Using Python (MLUP-101) 09 Oct 2024 M 06 - P02 Session 11

This session Covers the use of Regularization of data set with Linear Regression for predictions using different methods like LASSO (L1), Ridge (L2), and Elastic Net, available in Sci-kit learn using panda data frame.
Next we discuss the predictions using K- Nearest Neighbours (KNN).
Then we test the KNN accuracy to fifind the Optimal Parameters.
These all have basis in Statistics which is used extensively in sckit-learn for our practical machine learning models. More we will discuss in next session.