Linear Regression, Ridge Regression, Penalty, Loss, Cost Function.
regularization technique that addresses the challenges of multicollinearity and overfitting in linear regression models. By introducing a penalty term based on the L2 norm of the coefficient estimates, Ridge Regression strikes a balance between bias and variance, resulting in more robust and stable