Ridge Regression, Lasso Regression, Elasticnet Regression, Machine Learning, Machinelearningalgorithms.
features altogether. So, this works well for feature selection in case we have a huge number of features. ElasticNet Regression This algorithm is a combination of Ridge and Lasso Regression. Here we reduce the overfitting and we do feature selection. The cost function looks like this, J(θ0,θ1) =