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Feature Selection with Lasso Regression in machine learning

Feature Selection with Lasso Regression in machine learning

Many feature selection techniques include RFE(Recursive feature elimination), VIF(Variance Inflation Factor), VarianceThreshold, and many more. Lasso is one of the feature selection techniques in Data Science, which is used for feature selection for linear regression problems only. Lasso has two use cases. First, it is used to get rid of the overfitting of the linear regression model. And second, as… Continue readingFeature Selection with Lasso Regression in machine learning