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ml's Introduction

机器学习 python实现

工具包

包括:距离的计算,等

score

包括:各类分数

base

Baseclassifier

Baseregress

回归的模型

逻辑回归

线性回归

聚类

kmeans

svm

svr

svc

knn

knn_classifier

knn_regression

贝叶斯

朴素贝叶斯

树模型

分类

id3决策树

c4.5决策树

cart决策树

回归

cart决策树

集成模型

bagging

随机森林

boosting

gbdt

stack

ml's People

Contributors

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Stargazers

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Watchers

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Forkers

llzhaoshuo

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