Python, Ridge Regression, Lasso Regression, Elastic Net, Regularization.
line. The idea is here to shrink the parameters. Ridge (L2) Regularization We calculate the mean squared error in the linear regression model. In model training, we make predictions based on observations, then compare the predictions with the actual and measure the error. The regression fit process