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0下载：
This toolbox was written for my own education and to give me a chance to explore the models a bit.
It is NOT intended for any serious applications and it does not NOT do many of things you would
want a mature implementation to do, like leaf pruni
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0下载：
用python 实现的随机森林算法 并且和决策树等其他算法对比-With Random Forest algorithm implemented in python and other decision tree algorithms and contrast
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2下载：
特征提取，随机森林实现特征重要性排序，用python实现(Feature extraction and classification of characteristic importance in random forest)
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3下载：
机器学习常用方法的python实现，包括PCA，随机森林，决策树，层次聚类，kmeans，KNN，线性感知机等(Python implementation of common machine learning methods, including PCA, random forest, decision tree, hierarchical clustering, kmeans, KNN, linear perceptron, etc.)
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