René's URL Explorer Experiment

Title: GitHub - xsscss/Machine-Learning: :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Open Graph Title: GitHub - xsscss/Machine-Learning: :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

X Title: GitHub - xsscss/Machine-Learning: :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Description: :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归 - xsscss/Machine-Learning

Open Graph Description: :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归 - xsscss/Machine-Learning

X Description: :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归 - xsscss/Machine-Learning

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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#machine-learning
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	https://shang.qq.com/wpa/qunwpa?idkey=e70f3fcff3761450fda9b43eadc1910dac308a962ef9e3e87941cd2c681c4bb4
http://cuijiahua.com/	http://cuijiahua.com/
	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#文章首发声明
http://cuijiahua.com/	http://cuijiahua.com/
	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#第二章knnk-邻域算法
个人网站	http://cuijiahua.com/blog/2017/11/ml_1_knn.html
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#代码
1.简单k-NN	https://github.com/Jack-Cherish/Machine-Learning/tree/master/kNN/1.%E7%AE%80%E5%8D%95k-NN
2.海伦约会	https://github.com/Jack-Cherish/Machine-Learning/tree/master/kNN/2.%E6%B5%B7%E4%BC%A6%E7%BA%A6%E4%BC%9A
3.数字识别	https://github.com/Jack-Cherish/Machine-Learning/tree/master/kNN/3.%E6%95%B0%E5%AD%97%E8%AF%86%E5%88%AB
	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#第三章decision-tree决策树
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#代码-1
1.贷款预测	https://github.com/Jack-Cherish/Machine-Learning/blob/master/Decision%20Tree/Decision%20Tree.py
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#第四章navie-bayes朴素贝叶斯
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#代码-2
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#第五章logisticlogistic回归
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#代码-3
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#代码-4
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#第七章adaboost
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#代码-5
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2.在难数据集上应用AdaBoost	https://github.com/Jack-Cherish/Machine-Learning/blob/master/AdaBoost/horse_adaboost.py
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#第八章regression
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#代码-6
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#第九章regression-tree
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	https://patch-diff.githubusercontent.com/xsscss/Machine-Learning#代码-7
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