How To Prepare Your Data For Machine Learning in Python with Scikit-Learn

Last Updated on December 11, 2019

Many machine learning algorithms make assumptions about your data.

It is often a very good idea to prepare your data in such way to best expose the structure of the problem to the machine learning algorithms that you intend to use.

In this post you will discover how to prepare your data for machine learning in Python using scikit-learn.

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• Update Mar/2018: Added alternate link to download the dataset as the original appears to have been taken down.

Need For Data Preprocessing

You almost always need to preprocess your data. It is a required step.

A difficulty is that different algorithms make different assumptions about your data and may require different transforms. Further,
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