Understanding Feature Engineering (Part 1): Continuous Numeric Data

towardsdatascience.com

Feature engineering is an essential part of building any intelligent system. Even though you have a lot of newer methodologies coming in like deep learning and meta-heuristics which aid in automated machine learning, each problem is domain specific and better features (suited to the problem) is often the deciding factor of the performance of your system. Feature Engineering is an art as well as a science and this is the reason Data Scientists often spend 70% of their time in the data preparation phase before modeling.

This post is a great playbook for executing on the feature engineering phase on your next project.

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