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Random Forest implementation in python
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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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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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随机森林代码 通过Python来实现的，效果还不错~~~(Random forest code through Python to achieve, the effect is not bad ~!)
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this is random forest in python
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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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python鸢尾花（iris）数据分类程序举例，采用随机森林算法。(Python iris flower (IRIS) data classification program is used for example, and the random forest algorithm is used.)
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kaggle digitrecognizer MNIST by stacking some machine learning method, such like GBM(Gradient Boosting Method), LR, Extra Randomized Trees, Random Forest,KNN,etc.用stacking的方法实现手写数字识别MNIST。(kaggle digitrecognizer MNIST by stacking some machine learnin
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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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Paper on random forest , ANN , LinearSVM , Logistic regression classifiers
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这是python实现的随机森林算法，使用第三方库，代码简单实用。(This is random forest algorithm achieved by python.)
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基于python实现的随机森林代码，实现了oob估计等功能(Random forest code based on python implementation to achieve oob estimation and other functions)
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