Python, Ridge Regression, Lasso Regression, Elastic Net, Regularization.
to eliminate one of the collinear features and ridge tends to shrink all parameters together. The lambda value is a hyperparameter. We can adjust the regularization level by tuning this value. As the lambda value increases, the bias increases as can be seen from the graphs above. More weights