63 lines
1.8 KiB
Markdown
63 lines
1.8 KiB
Markdown
# 机器学习100天
|
|
|
|
英文原版请移步[Avik-Jain](https://github.com/Avik-Jain/100-Days-Of-ML-Code)。
|
|
|
|
## 数据预处理 | [第1天](https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Code/Day%201_Data%20Preprocessing.md)
|
|
|
|
<p align="center">
|
|
<img src="https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Info-graphs/Day%201.jpg">
|
|
</p>
|
|
|
|
## 简单线性回归模型 | [第2天](https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Code/Day2_Simple_Linear_Regression.md)
|
|
|
|
<p align="center">
|
|
<img src="https://github.com/wengJJ/100-Days-Of-ML-Code/blob/master/Info-graphs/Day%202.jpg">
|
|
</p>
|
|
|
|
## 多元线性回归 | 第3天
|
|
|
|
<p align="center">
|
|
<img src="https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Info-graphs/Day%203.png">
|
|
</p>
|
|
|
|
## 逻辑回归 | 第4天
|
|
|
|
<p align="center">
|
|
<img src="https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Info-graphs/Day%204.jpg">
|
|
</p>
|
|
|
|
## 逻辑回归 | 第6天
|
|
|
|
逻辑回归实现
|
|
|
|
## K近邻法 | 第7天
|
|
|
|
<p align="center">
|
|
<img src="https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Info-graphs/Day%207.jpg">
|
|
</p>
|
|
|
|
## K近邻法 | 第11天
|
|
|
|
K近邻法实现
|
|
|
|
## 支持向量机(SVM) | 第12天
|
|
|
|
<p align="center">
|
|
<img src="https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Info-graphs/Day%2012.jpg">
|
|
</p>
|
|
|
|
## 支持向量机(SVM) | 第13天
|
|
|
|
[SVM实现](https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Code/Day%2013_SVM.md)
|
|
|
|
|
|
## 决策树 | 第23天
|
|
|
|
<p align="center">
|
|
<img src="https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Info-graphs/Day%2023%20-%20Chinese.jpg">
|
|
</p>
|
|
|
|
## 决策树 | 第25天
|
|
|
|
[决策树实现](https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Code/Day%2025%20Decision%20Tree.md)
|