Extension of Linear Regression
Also Known as "L2 Regulisation"
Use: Control Overfitting
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Issue in Linear Regression: Cost function can reach 0, meaning it is a 100% accurate model which is never true.
Therfore, Ridge Regression - L2, Lasso Regression - L1 & Elastic Net adjust the cost functions to give better accurate models
Improves on the following factors
Adds a "Ridge Hyper-parameters for adjusting cost function such that the cost function is always > 0
Reduces the less important features by adjusting parameter, hence
Useful for Controlling Overfitting