# ml-from-scratch-book/code

<https://repo.masters-masters.com/en/repos/ml-from-scratch-book/code>

[Home](https://repo.masters-masters.com/en) › [ml-from-scratch-book](https://repo.masters-masters.com/en/owners/ml-from-scratch-book) › [code](https://repo.masters-masters.com/en/repos/ml-from-scratch-book/code)

ml-from-scratch-book/code has 322 stars on GitHub. Its RepoMasters card: Alpha tier. Companion code for Machine Learning From Scratch — 10 core ML algorithms…

| Field | Value |
| --- | --- |
| Owner | [ml-from-scratch-book](https://repo.masters-masters.com/en/owners/ml-from-scratch-book) |
| Stars | 322 |
| Forks | 32 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2026 |
| Topics | artificial-intelligence, data-science, deep-learning, education, from-scratch-implementation, from-scratch-in-python, from-scratch-ml, machine-learning, machine-learning-algorithms, ml |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ml-from-scratch-book/code](https://github.com/ml-from-scratch-book/code) |

## Repository

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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.