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Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

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306 Stars

32 Forks

2 Watchers

Jupyter Notebook Language

mit License

100 SrcLog Score

Cost to Build

$15.9K

Market Value

$49.1K

How is this calculated?

Growth over time

8 data points · 2026-07-25 → 2026-10-03

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What is the ml-from-scratch-book/code GitHub project? Description: "Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone code

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git clone https://github.com/ml-from-scratch-book/code.git

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Download main.zip

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