MachineLearning_BasicAlgorithm
                                
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                        保存个人机器学习代码,包含:决策树、KNN、SVM、神经网络、简单线性回归、多元线性回归、Kmeans、层次聚类。对应文档 :http://blog.csdn.net/YEN_CSDN/article/category/6725711
MachineLearningDemo
保存个人机器学习代码,对应博客专栏 :http://blog.csdn.net/YEN_CSDN/article/category/6725711
算法列表:
决策树算法:
代码及数据:https://github.com/YEN-GitHub/MachineLearningDemo/tree/master/Decision_Tree
博客及结果:http://blog.csdn.net/yen_csdn/article/details/79012871
KNN算法:
代码及数据:https://github.com/YEN-GitHub/MachineLearningDemo/tree/master/K-NearestNerghbor
博客及结果:http://blog.csdn.net/yen_csdn/article/details/79022831
SVM算法:
代码及数据:https://github.com/YEN-GitHub/MachineLearningDemo/tree/master/SVM
博客及结果(linear separable):http://blog.csdn.net/yen_csdn/article/details/79033742
博客及结果(linear inseparable):http://blog.csdn.net/yen_csdn/article/details/79043192
神经网络算法:
博客及结果:http://blog.csdn.net/yen_csdn/article/details/79063768
简单线性回归算法:
代码及数据:https://github.com/YEN-GitHub/MachineLearningDemo/tree/master/SimpleLinearRegression
博客及结果:http://blog.csdn.net/yen_csdn/article/details/79074288
多元线性回归算法:
代码及数据:https://github.com/YEN-GitHub/MachineLearningDemo/tree/master/MultipleRegression
博客及结果:http://blog.csdn.net/yen_csdn/article/details/79086067
非线性回归-逻辑回归算法:
代码及数据:https://github.com/YEN-GitHub/MachineLearningDemo/tree/master/LogisticRegression
博客及结果:http://blog.csdn.net/yen_csdn/article/details/79095362
回归中的相关性和R平方值算法:
代码及数据:https://github.com/YEN-GitHub/MachineLearningDemo/tree/master/CorrelationCoefficient
博客及结果:http://blog.csdn.net/yen_csdn/article/details/79105846
Kmeans算法:
代码及数据:https://github.com/YEN-GitHub/MachineLearningDemo/tree/master/Kmeans
博客及结果:http://blog.csdn.net/yen_csdn/article/details/79114677
Hierarchical clustering层次聚类算法:
代码及数据:https://github.com/YEN-GitHub/MachineLearningDemo/tree/master/HierarchicalClustering
博客及结果:http://blog.csdn.net/yen_csdn/article/details/79119777