# HanXinzi-AI/awesome-python-machine-learning-resources

<https://repo.masters-masters.com/en/repos/HanXinzi-AI/awesome-python-machine-learning-resources>

[Home](https://repo.masters-masters.com/en) › [HanXinzi-AI](https://repo.masters-masters.com/en/owners/HanXinzi-AI) › [awesome-python-machine-learning-resources](https://repo.masters-masters.com/en/repos/HanXinzi-AI/awesome-python-machine-learning-resources)

HanXinzi-AI/awesome-python-machine-learning-resources has 225 stars on GitHub. Its RepoMasters card: Prototype tier. a collection of awesome machine learning…

| Field | Value |
| --- | --- |
| Owner | [HanXinzi-AI](https://repo.masters-masters.com/en/owners/HanXinzi-AI) |
| Stars | 225 |
| Forks | 31 |
| Language | No language |
| License | None |
| Created | 2021 |
| Topics | machine-learning, machine-learning-algorithms, data-science, data-visualization, data-mining, awesome, deep-learning, awesome-list, nlp, cv |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [HanXinzi-AI/awesome-python-machine-learning-resources](https://github.com/HanXinzi-AI/awesome-python-machine-learning-resources) |

## Repository

a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合

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

## More repos by HanXinzi-AI

- [HanXinzi-AI/awesome-computer-vision-resources · ★ 362 · Alpha](https://repo.masters-masters.com/en/repos/HanXinzi-AI/awesome-computer-vision-resources)
- [HanXinzi-AI/awesome-NLP-resources · ★ 240 · Prototype](https://repo.masters-masters.com/en/repos/HanXinzi-AI/awesome-NLP-resources)
- [HanXinzi-AI/awesome-python-resources · ★ 181 · Prototype](https://repo.masters-masters.com/en/repos/HanXinzi-AI/awesome-python-resources)
- [HanXinzi-AI/awesome-jupyter-resources · ★ 103 · Prototype](https://repo.masters-masters.com/en/repos/HanXinzi-AI/awesome-jupyter-resources)

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