# giangtranml/ml-from-scratch

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

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

giangtranml/ml-from-scratch has 225 stars on GitHub. Its RepoMasters card: Prototype tier. All the ML algorithms, ML models are coded from scratch by pure…

| Field | Value |
| --- | --- |
| Owner | [giangtranml](https://repo.masters-masters.com/en/owners/giangtranml) |
| Stars | 225 |
| Forks | 121 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [giangtranml/ml-from-scratch](https://github.com/giangtranml/ml-from-scratch) |

## Repository

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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