aaronwangy/Data-Science-Cheatsheet
A 5-page PDF cheatsheet summarizing core machine learning algorithms and concepts for exam and interview preparation.
Not currently ranked — collecting fresh signals.
star history
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.
Frequently asked
- What is aaronwangy/Data-Science-Cheatsheet?
- A 5-page PDF cheatsheet summarizing core machine learning algorithms and concepts for exam and interview preparation.
- Is Data-Science-Cheatsheet open source?
- Yes — aaronwangy/Data-Science-Cheatsheet is an open-source project tracked on heatdrop.
- What language is Data-Science-Cheatsheet written in?
- aaronwangy/Data-Science-Cheatsheet is primarily written in TeX.
- How popular is Data-Science-Cheatsheet?
- aaronwangy/Data-Science-Cheatsheet has 5.4k stars on GitHub.
- Where can I find Data-Science-Cheatsheet?
- aaronwangy/Data-Science-Cheatsheet is on GitHub at https://github.com/aaronwangy/Data-Science-Cheatsheet.