This project forked from zhangxiangchn/demo
主要放置一些自己实现的小Demo
elman_RNN: elman神经网络的实现Demo
viterbi: 隐马尔可夫模型中，预测算法中维特比算法的实现
hmm.py: 一阶隐马尔可夫模型的CLASS实现
test_for_hmm.py: class hmm 的测试代码
DecisionTree_for_ID3：ID3方法的决策树基本算法的实现
KNN：K近邻算法的基本实现
Logistic regression：逻辑回归算法的基本实现
Regression Tree: 回归树的实现，以及后剪枝处理
Model Tree: 模型树的实现，即叶节点不再是所有值的均值，替代的是回归方程
LinearRegression: 基于正则方程的线性回归实现，包括局部加权线性回归的实现
KMeans： K均值聚类的实现，以及解决局部收敛问题的2分法实现
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