aaronwangy/Data-Science-Cheatsheet

Covers 14+ core ML/data science algorithms and concepts—including clustering, boosting, NLP, neural networks, reinforcement learning, and time series—distilled from MIT's 6.867 and 15.072 courses. Focuses on algorithm theory and mathematical foundations rather than implementation, making it language-agnostic and durable across evolving tech stacks. Designed as a printable PDF reference for rapid lookup during exams or interviews, complemented by visual diagrams and mathematical notation.

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