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-learningdata-preprocessingfeature-engineeringdata-settarget-encodinglabel-encodingbinary-encodingone-hot-encodingcategorical-encodingml-educationml-encodingml-encoding-guide
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Updated
Nov 25, 2025 - Jupyter Notebook