# Machine-Learning-for-Beginner-by-Python3 **Repository Path**: iqpkeq0/Machine-Learning-for-Beginner-by-Python3 ## Basic Information - **Project Name**: Machine-Learning-for-Beginner-by-Python3 - **Description**: No description available - **Primary Language**: Python - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 1 - **Forks**: 1 - **Created**: 2019-09-04 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 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** ------------ 扫描下方二维码,关注获取更多。 ![image](https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3/blob/master/pythonfan_anfany.jpg) * **```Join In & Make Progress Together:```** + **```QQ:459151137```** + **```QQ群:226572896```** + **```微信:Guoguoaif```** + **```公众号:pythonfan```** + **```邮箱:anxinguoguo@126.com```** ---------------------