# ice-tong/ML\_demo

<https://repo.masters-masters.com/en/repos/ice-tong/ML_demo>

[Home](https://repo.masters-masters.com/en) › [ice-tong](https://repo.masters-masters.com/en/owners/ice-tong) › [ML\_demo](https://repo.masters-masters.com/en/repos/ice-tong/ML_demo)

ice-tong/ML\_demo has 195 stars on GitHub. Its RepoMasters card: Prototype tier. 一些机器学习算法的demo。普通最小二乘法，决策树（Iris鸢尾花数据集），KNN（mnist手写数字数据集），朴素贝叶斯分类西瓜数据集，trec06c数据集…

| Field | Value |
| --- | --- |
| Owner | [ice-tong](https://repo.masters-masters.com/en/owners/ice-tong) |
| Stars | 195 |
| Forks | 77 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | tensorflow, machine-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ice-tong/ML\_demo](https://github.com/ice-tong/ML_demo) |

## Repository

一些机器学习算法的demo。普通最小二乘法，决策树（Iris鸢尾花数据集），KNN（mnist手写数字数据集），朴素贝叶斯分类西瓜数据集，trec06c数据集垃圾邮件分类（spam），逻辑斯蒂回归，随机梯度下降SGD与全梯度下降的对比，mnist中8和9的二分类，泰坦尼克号数据集。

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

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