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test_2
- 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
[www.17zixueba.com]10.RandomForest代码
- 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 ~!)
RandomForest
- RandomForest随机森林实现+python(RandomForest+python3.6)
1.1 - 副本
- 用随机森林对玻璃进行分类 用python集成方法解决多类别分类问题(Classification of glass using random forests)
特征提取程序
- 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)
Iris_RandomForest
- 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.)
机器学习常用方法
- 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.
rF
- 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.)
RF
- 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)
随机森林策略
- 机器学习，智能选股，回测平台使用聚宽，根据当前股价，结合以往学习数据，做出最优策略(Machine learning, intelligent stock selection, backtesting platform use jukuan, according to the current stock price, combined with previous learning data, to make the optimal st