This repository is a comprehensive guide to different Encoding techniques in Machine Learning, explaining when to use each method and best practices. You'll find practical examples, ready-to-use code, and comparisons between various techniques like Label Encoding, One-Hot Encoding, Target Encoding, and more!
machine-learning data-preprocessing feature-engineering data-set target-encoding label-encoding binary-encoding one-hot-encoding categorical-encoding ml-education ml-encoding ml-encoding-guide
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Updated
Mar 21, 2025 - Jupyter Notebook