🤖 Machine Learning Algorithms
One-line summary: Foundational ML algorithms implemented from scratch to understand the math behind the models.
Algorithms in this section
Runnable implementations (with tests) live alongside this guide in this folder:
- k-Nearest Neighbors (k-NN) — instance-based classification
- k-Means — unsupervised clustering
Related Topics
- Math — distance metrics and linear algebra
- Statistics — sampling and probability
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