# guangyaooo/MLTemplate

<https://repo.masters-masters.com/en/repos/guangyaooo/MLTemplate>

[Home](https://repo.masters-masters.com/en) › [guangyaooo](https://repo.masters-masters.com/en/owners/guangyaooo) › [MLTemplate](https://repo.masters-masters.com/en/repos/guangyaooo/MLTemplate)

guangyaooo/MLTemplate has 159 stars on GitHub. Its RepoMasters card: Prototype tier. 机器学习(Machine Learning, ML)python简洁实现，包括混合高斯模型，KMeans，决策树，随机森林，K近邻，线性判别分析，逻…

| Field | Value |
| --- | --- |
| Owner | [guangyaooo](https://repo.masters-masters.com/en/owners/guangyaooo) |
| Stars | 159 |
| Forks | 24 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [guangyaooo/MLTemplate](https://github.com/guangyaooo/MLTemplate) |

## Repository

机器学习(Machine Learning, ML)python简洁实现，包括混合高斯模型，KMeans，决策树，随机森林，K近邻，线性判别分析，逻辑斯蒂回归（梯度下降法，牛顿法），多层感知机（分类+回归），Naive Bayes（离散+高斯），多分类SVM，线性回归，隐马尔可夫模型（包括前向算法，后向算法，Viterbi算法和BaumWelch算法），主成分分析等模型

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.