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classification-Python
- python实现感知器、贝叶斯分类、决策树分类、K最近邻法、逻辑回归、支持向量机-Python implementation of perceptron, Bias classification, decision tree classification, K nearest neighbor method, logic regression, support vector machine
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
Chapter_2.1.1.3
- 贝叶斯算法、决策树、神经网络等算法的简单python实现(Bias algorithm, decision tree and neural network)
Iris_DecisionTree
- python 鸢尾花（iris）数据分类测试程序，采用决策树方法。(Python iris flower (IRIS) data classification test program, using the decision tree method.)
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.)
kNN
- 手势识别源代码，需要百度下载training和test（训练集和测试集）能够实现手写0-9数字的识别，并在40秒以内完成(Python.number recognition.)
tree
- 决策树 机器学习实战CH03 统计所有label的频次，计算香农熵(Decision Tree Machine Learning Practical Combat CH03 Statistics Frequency of All Labels and Calculates Shannon Entropy)