L2 or Ridge Regression
- It is a extension of Linear Regression
- It is used to decrease overfitting
Though the name suggests Regression, it's a Regularization method for preventing Overfitting
L2 or Ridge Regression
- It adds up a penalty for using a big weight value, so there will be never a big slope
- The value of slope will never go to total 0
- Why? Read L1 vs. L2 Regression