Linear Regression, Ridge Regression, Penalty, Loss, Cost Function.
Regression introduces a penalty on the magnitude of coefficients. This helps to prevent overfitting, especially when dealing with high-dimensional data or when the number of predictors exceeds the number of observations. 3. Bias-variance trade-off: Ridge Regression strikes a balance between bias