Ridge Regression, Lasso Regression, Elasticnet Regression, Machine Learning, Machinelearningalgorithms.
features that are very important will be considered. It adds the “absolute value of magnitude” of the coefficient as a penalty term to the loss function. To do the feature selection we are using an equation like this. Cost Function + λ [i =1 -> m Σ | slope] : λ is a Hyperparameter J(θ0,θ1) = 1/2m