Feature Selection for Machine Learning: A Comprehensive Overview

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When building a machine learning model in a business setting, it’s rare that all the variables encompassing the available data will need to be incorporated in the model. Sure, adding more variables rarely makes a model less accurate, but there are certain disadvantages to including an excess of features.

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Lead Data Scientist, author of “Python Feature Engineering Cookbook”, instructor of machine learning at www.trainindata.com and developer of Python open-source.

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Lead Data Scientist, author of “Python Feature Engineering Cookbook”, instructor of machine learning at www.trainindata.com and developer of Python open-source.

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