Linear Regression, Ridge Regression, Penalty, Loss, Cost Function.
Regression tends to shrink the coefficients towards zero, making them less interpretable. The emphasis is on the relative importance of variables rather than the specific magnitude of coefficients. 2. Choosing the regularization parameter: The selection of the regularization parameter alpha is