用python实现机器学习各种经典算法.zip

# MachineLearningNote 使用python实现各种机器学习算法 ### OS * Windows 10 * Ubuntu 16.04 * MaxOS 10 ### Requirements * Python 3 * requirement.txt ### Current List * [Transformer](https://github.com/AlanConstantine/MachineLearningNote/tree/master/Transformer) * [Self-Attention](https://github.com/AlanConstantine/MachineLearningNote/blob/master/Transformer/self_attention.ipynb) * [贝叶斯推断BayesianInference](https://github.com/AlanConstantine/MachineLearningNote/tree/master/BayesianInference) * [预聚类Canopy](https://github.com/AlanConstantine/MachineLearningNote/tree/master/Canopy) * [决策树DecisionTree](https://github.com/AlanConstantine/MachineLearningNote/tree/master/DecisionTree) * 待找出更好的实现方式，可能会参考《机器学习实战》一书的代码 * [指数平滑模型ExponentialSmoothing](https://github.com/AlanConstantine/MachineLearningNote/tree/master/ExponentialSmoothing) * [梯度下降GradientDescent](https://github.com/AlanConstantine/MachineLearningNote/tree/master/GradientDescent) * [K近邻KNN](https://github.com/AlanConstantine/MachineLearningNote/tree/master/KNN) * [局部加权回归LocallyWeightedLinearRegression](https://github.com/AlanConstantine/MachineLearningNote/tree/master/LocallyWeightedLinearRegression) * [LogisticRegression](https://github.com/AlanConstantine/MachineLearningNote/tree/master/LogisticRegression) * [多叉树MultiwayTree](https://github.com/AlanConstantine/MachineLearningNote/tree/master/MultiwayTree) * [单遍聚类SinglePass](https://github.com/AlanConstantine/MachineLearningNote/tree/master/SinglePass) * [BP神经网路NeuralNetwork](https://github.com/AlanConstantine/MachineLearningNote/tree/master/NeuralNetwork) * ```NeuralNetwork.py```待完善。 * [Adaboost](https://github.com/AlanConstantine/MachineLearningNote/tree/master/Adaboost) * ```adaboostMultiDimension.py```待完善，每次运行误差都为0.2，代码有bug，正在解决 * [主成分分析PCA](https://github.com/AlanConstantine/MachineLearningNote/tree/master/PCA) * [奇异值分解SVD](https://github.com/AlanConstantine/MachineLearningNote/tree/master/SVD) ### TO DO List * SVM * Random Forest * Xgboost * GBDT * LDA * SGD