Professional PyTorch CLI learning tool with 24 comprehensive lessons - From tensor basics to ExecutorTorch deployment with interactive examples
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Updated
Nov 10, 2025 - Python
Professional PyTorch CLI learning tool with 24 comprehensive lessons - From tensor basics to ExecutorTorch deployment with interactive examples
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!
Competitive AutoML with model tournaments, feature importance, prediction intervals, and what-if analysis in Streamlit.
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