Linear Regression, Ridge Regression, Penalty, Loss, Cost Function.
crucial in Ridge Regression. It determines the amount of shrinkage applied to the coefficients. Choosing an optimal value for alpha requires careful consideration and often involves cross-validation techniques. 3. Invariance to feature scaling: Ridge Regression is not invariant to feature scaling.