dbetteb/early-ML
A Python step-by-step primer for Machine Learning and Optimization
This project offers a step-by-step guide to understanding Machine Learning and Optimization, going beyond just using existing tools. It takes you from basic Python programming to implementing core ML algorithms from scratch, providing a deeper understanding of how they work. It's designed for anyone who wants to learn the foundational principles of machine learning, not just how to apply pre-built packages.
Use this if you are a student, data enthusiast, or aspiring data scientist who wants to learn the underlying mechanics of machine learning algorithms, rather than just how to use them.
Not ideal if you are a seasoned data scientist primarily looking for advanced techniques, ready-to-use production code, or only interested in quickly applying high-level ML libraries.
Stars
13
Forks
10
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Mar 19, 2026
Commits (30d)
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