README.md · 九钱/Machine-Learning-for-Beginner-by-Python3

# Machine-Learning-for-Beginner-by-Python3

为机器学习的入门者**提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序**。只要数据格式和例子的中的一样，程序可灵活调用。

![image](https://img.shields.io/badge/Language-Python3-red.svg)	![image](https://img.shields.io/badge/license-MIT-000000.svg)

### 入门篇

* **Linear Regression (线性回归)**

+ **实例：[波士顿房屋价格预测](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Linear%20Regression)**
* **Logistic Regression (逻辑回归)**  
    + **实例：[心脏病预测](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Logistic%20Regression)**
* **Softmax Regression (Softmax 回归)**  
    + **实例：[鸢尾花分类](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Softmax%20Regression)**
* **Kmeans++ Cluster (K均值++ 聚类)**
     + **实例：[葡萄酒聚类](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Kmeans%20Cluster)**

### 初级篇

* **理论推导**
     + **[BP Neutral Net (反向传播神经网络)](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/blob/master/BPNN/readme.md)**
     + **[SVM (支持向量机)](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/SVM)**
     + **[Desicion Tree (决策树CART)](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Decision%20Tree)**
     
 
*  **实例**
    + **北京市Pm2.5预测**
        + **[BP Neutral Net (反向传播神经网络)](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/BPNN/BPNN_Regression)**
        + **[SVM (支持向量机)](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/SVM/SVM_Regression)**
        + **[Desicion Tree (决策树CART)](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Decision%20Tree/DT_Regression)**
               
   + **成年人收入分类&Mnist手写数字识别&心脏病预测**
        + **[BP Neutral Net (反向传播神经网络)](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/BPNN/BPNN_Classify)**
        + **[SVM (支持向量机)](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/blob/master/SVM/SVM_Classify/readme.md)**        
        + **[Desicion Tree (决策树CART)](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/blob/master/Decision%20Tree/DT_Classify/readme.md)**

### 中级篇(集成方法)

* **[Bagging](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Bagging)**  
     + **[随机森林](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Bagging/Random_Forest)**
* **[Boosting](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Boosting)**  
     + **[AdaBoost](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Boosting/AdaBoost)**
     + **[GBDT](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Boosting/GBDT)**
     + **[XGBoost](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Boosting/XGBoost)**
     + **[LightGBM](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Boosting/LightGBM)**  
     + **[CatBoost](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Boosting/CatBoost)**

* **[Stacking](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/blob/master/Stacking/readme.md)**
     + **[Stacking](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/blob/master/Stacking/readme.md)**
     
* **[Blending](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Blending)**
     + **[Blending](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/Blending)**

### 高级篇

* **[卷积神经网络](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/tree/master/CNN)**

+ **LeNet**
     + **AlexNet**
     + **ZF Net**
     + **GoogLeNet**  
     + **VGGNet** 
     
*  **CNN实战**
    + **[0到9数字手势识别](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/blob/master/CNN/PaddlePaddle/PaddlePaddle%E5%AE%9E%E6%88%98%E7%B3%BB%E5%88%97%E9%A1%B9%E7%9B%AE1%EF%BC%9A%E5%88%A9%E7%94%A8%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%AE%9E%E7%8E%B00%E5%88%B09%E6%89%8B%E5%8A%BF%E8%AF%86%E5%88%AB.md)**

* **循环神经网络**

* **深层神经网路**

### 进阶篇

* **强化学习**

### 应用篇

* **NLP**
* **机器视觉**

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