Feature Selection in Python with Scikit-Learn

Last Updated on June 4, 2020

Not all data attributes are created equal. More is not always better when it comes to attributes or columns in your dataset.

In this post you will discover how to select attributes in your data before creating a machine learning model using the scikit-learn library.

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Update: For a more recent tutorial on feature selection in Python see the post:

Select Features

Feature selection is a process where you automatically select those features in your data that contribute most to the prediction variable or output in which you are interested.

Having too many irrelevant features in your data can decrease the accuracy of the models. Three benefits of performing feature selection before modeling your data
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