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ML-From-Scratch

ML-From-Scratch

by eriklindernoren · GitHub

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

# data-mining# data-science# deep-learning# deep-reinforcement-learning
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32.3k
🍴 Forks
5.4k
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📜 License
MIT
Commercial use OK
📅 Created
2017
🔄 Last commit
2 yr ago
🏷️ Category
data-mining
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📈 Star history
32.3k32.0k
2026-06-272026-07-22
📄 About

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Frequently asked questions

What is ML-From-Scratch?

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Is ML-From-Scratch open source?

ML-From-Scratch is an open-source project. It is released under the MIT license.

Is ML-From-Scratch free?

Yes. ML-From-Scratch is free and open source — you can use, modify and self-host it.

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