Feature selection with Lasso in Python

Lasso is a regularization constraint introduced to the objective function of linear models in order to prevent overfitting of the predictive model to the data. The name Lasso stands for Least Absolute Shrinkage and Selection Operator.

It turns out that the Lasso regularization has the ability to set some coefficients to zero. This means that Lasso can be used for variable selection in machine…