# leezqcst/machine-learning-algorithm

<https://repo.masters-masters.com/en/repos/leezqcst/machine-learning-algorithm>

[Home](https://repo.masters-masters.com/en) › [leezqcst](https://repo.masters-masters.com/en/owners/leezqcst) › [machine-learning-algorithm](https://repo.masters-masters.com/en/repos/leezqcst/machine-learning-algorithm)

leezqcst/machine-learning-algorithm has 162 stars on GitHub. Its RepoMasters card: Prototype tier. 记录小润了解的各种机器学习算法的实现以及基础概念，包括有监督学习，无监督学习，分类，聚类，回归；神经元模型，多层感知器，…

| Field | Value |
| --- | --- |
| Owner | [leezqcst](https://repo.masters-masters.com/en/owners/leezqcst) |
| Stars | 162 |
| Forks | 30 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2016 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [leezqcst/machine-learning-algorithm](https://github.com/leezqcst/machine-learning-algorithm) |

## Repository

记录小润了解的各种机器学习算法的实现以及基础概念，包括有监督学习，无监督学习，分类，聚类，回归；神经元模型，多层感知器，BP算法；损失函数，激活函数，梯度下降法；全连接网络、卷积神经网络、递归神经网络；训练集，测试集，交叉验证，欠拟合，过拟合；数据规范化等

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.