neonwatty/machine-learning-refined
A university textbook companion repository for learning machine learning and deep learning fundamentals through building models from scratch in Python.
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This repository accompanies the 2nd edition of Machine Learning Refined, offering free chapter PDFs, Jupyter notebook-based online notes, and exercises. It takes a pedagogical approach emphasizing intuition and visualization, teaching ML concepts by implementing them from scratch using only fundamental Python tools like NumPy. Designed for both independent learners and university instructors.