aaronwangy/Data-Science-Cheatsheet
A 5-page PDF cheatsheet summarizing core machine learning algorithms and concepts for exam and interview preparation.

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This repository contains a multi-page LaTeX document covering foundational machine learning topics including regression, decision trees, SVM, clustering, neural networks, and reinforcement learning. It serves as a study reference based on MIT’s machine learning courses. The content focuses on algorithms, models, and concepts rather than implementation code.