7 of the Most Used Feature Engineering Techniques

Hands-on Feature Engineering with Scikit-Learn, Tensorflow, Pandas and Scipy

Dominik Polzer
Towards Data Science
37 min readJan 9, 2023

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7 of the most used Feature Engineering Techniques — Image by the author

Table of content

Introduction
1. Encoding

1.1 Label Encoding using Scikit-learn
1.2 One-Hot Encoding using Scikit-learn, Pandas and Tensorflow
2. Feature Hashing
2.1 Feature Hashing using Scikit-learn
3. Binning

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Machine Learning Engineer. I like to break down machine learning concepts into easy to understand pieces. linkedin.com/in/polzerdo/