MachineLearningNote

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MachineLearningNote

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用python实现机器学习各种经典算法

MachineLearningNote 최신버젼 다운로드

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# 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

MachineLearningNote

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