# SmallVagetable/machine\_learning\_python

<https://repo.masters-masters.com/en/repos/SmallVagetable/machine_learning_python>

[Home](https://repo.masters-masters.com/en) › [SmallVagetable](https://repo.masters-masters.com/en/owners/SmallVagetable) › [machine\_learning\_python](https://repo.masters-masters.com/en/repos/SmallVagetable/machine_learning_python)

SmallVagetable/machine\_learning\_python has 738 stars on GitHub. Its RepoMasters card: Beta tier. 通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron…

| Field | Value |
| --- | --- |
| Owner | [SmallVagetable](https://repo.masters-masters.com/en/owners/SmallVagetable) |
| Stars | 738 |
| Forks | 265 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [SmallVagetable/machine\_learning\_python](https://github.com/SmallVagetable/machine_learning_python) |

## Repository

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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