Linear Regression, Ridge Regression, Penalty, Loss, Cost Function.
magnitude of the coefficients. By doing so, Ridge Regression shrinks the coefficient estimates towards zero, effectively reducing their impact on the model. The regularization parameter alpha determines the amount of shrinkage applied to the coefficients. A higher value of alpha increases the