Linear Regression, Ridge Regression, Penalty, Loss, Cost Function.
there is chance of overfitting, let’s check this using regularization Apply Cross Validation and find the best alpha value WE can see the best alpha value came out to be 24.35 Now lets apply Ridge Regression from sklearn.linear_model and pass the best alpha parameter found above We can see that