Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
the interpretation of the data). In general, use Ridge when you have few predictors (few features) and you are sure they're all important. In general, the higher is the coefficient of penalization higher is the penalization. Ridge is functioning better when the weights have similar dimensions. The