Best Resources to Learn Feature Engineering for Machine Learning

Feature Engineering — Image from the author — All rights reserved

Data in its raw format is almost never ready to be used to train machine learning models. But, we can transform the data to build suitable features for machine learning. The process of transforming the variables and creating new features is called feature engineering, and it is typically the stage where data scientists devote most of their effort in a machine learning project.

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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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Sole from Train in Data

Sole from Train in Data

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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