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Title: GitHub - brucecmd/Machine-Learning: 机器学习实战（Python3） · GitHub

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Description: 机器学习实战（Python3）. Contribute to brucecmd/Machine-Learning development by creating an account on GitHub.

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AdaBoosthttps://github.com/brucecmd/Machine-Learning/tree/master/AdaBoost
AdaBoosthttps://github.com/brucecmd/Machine-Learning/tree/master/AdaBoost
Decision Treehttps://github.com/brucecmd/Machine-Learning/tree/master/Decision%20Tree
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https://github.com/brucecmd/Machine-Learning#machine-learning
我的博客http://blog.csdn.net/c406495762
CSDN博客专栏http://blog.csdn.net/column/details/16415.html
知乎专栏https://zhuanlan.zhihu.com/ml-jack
https://shang.qq.com/wpa/qunwpa?idkey=e70f3fcff3761450fda9b43eadc1910dac308a962ef9e3e87941cd2c681c4bb4
https://github.com/brucecmd/Machine-Learning#第二章knnk-邻域算法
CSDNhttp://blog.csdn.net/c406495762/article/details/75172850
知乎https://zhuanlan.zhihu.com/p/28656126
https://github.com/brucecmd/Machine-Learning#代码
1.简单k-NNhttps://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://github.com/brucecmd/Machine-Learning#第三章decision-tree决策树
CSDNhttp://blog.csdn.net/c406495762/article/details/75663451
知乎https://zhuanlan.zhihu.com/p/28688281
CSDNhttp://blog.csdn.net/c406495762/article/details/76262487
知乎https://zhuanlan.zhihu.com/p/28714382
https://github.com/brucecmd/Machine-Learning#代码-1
1.贷款预测https://github.com/Jack-Cherish/Machine-Learning/blob/master/Decision%20Tree/Decision%20Tree.py
2.隐形眼镜https://github.com/Jack-Cherish/Machine-Learning/blob/master/Decision%20Tree/Sklearn-Decision%20Tree.py
https://github.com/brucecmd/Machine-Learning#第四章navie-bayes朴素贝叶斯
CSDNhttp://blog.csdn.net/c406495762/article/details/77341116
知乎https://zhuanlan.zhihu.com/p/28719332
CSDNhttp://blog.csdn.net/c406495762/article/details/77500679
知乎https://zhuanlan.zhihu.com/p/28720393
https://github.com/brucecmd/Machine-Learning#代码-2
1.言论过滤器https://github.com/Jack-Cherish/Machine-Learning/blob/master/Naive%20Bayes/bayes.py
2.垃圾邮件过滤器https://github.com/Jack-Cherish/Machine-Learning/blob/master/Naive%20Bayes/bayes-modify.py
3.新浪新闻分类器https://github.com/Jack-Cherish/Machine-Learning/blob/master/Naive%20Bayes/nbc.py
https://github.com/brucecmd/Machine-Learning#第五章logisticlogistic回归
CSDNhttp://blog.csdn.net/c406495762/article/details/77723333
知乎https://zhuanlan.zhihu.com/p/28922957
CSDNhttp://blog.csdn.net/c406495762/article/details/77851973
知乎https://zhuanlan.zhihu.com/p/29073560
https://github.com/brucecmd/Machine-Learning#代码-3
1.Logistic基础训练https://github.com/Jack-Cherish/Machine-Learning/blob/master/Logistic/LogRegres.py
2.改进的随机梯度上升算法https://github.com/Jack-Cherish/Machine-Learning/blob/master/Logistic/LogRegres-gj.py
3.病马死亡率预测https://github.com/Jack-Cherish/Machine-Learning/blob/master/Logistic/colicLogRegres.py
https://github.com/brucecmd/Machine-Learning#第六章svm支持向量机
CSDNhttp://blog.csdn.net/c406495762/article/details/78072313
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CSDNhttp://blog.csdn.net/c406495762/article/details/78158354
知乎https://zhuanlan.zhihu.com/p/29872905
https://github.com/brucecmd/Machine-Learning#代码-4
1.简化版SMO算法https://github.com/Jack-Cherish/Machine-Learning/blob/master/SVM/svm-simple.py
2.完整版SMO算法https://github.com/Jack-Cherish/Machine-Learning/blob/master/SVM/svm-smo.py
3.非线性SVMhttps://github.com/Jack-Cherish/Machine-Learning/blob/master/SVM/svmMLiA.py
4.Sklearn SVC手写数字识别https://github.com/Jack-Cherish/Machine-Learning/blob/master/SVM/svm-svc.py
https://github.com/brucecmd/Machine-Learning#第七章adaboost
知乎https://zhuanlan.zhihu.com/p/30035094
https://github.com/brucecmd/Machine-Learning#代码-5
1.基于单层决策树的AdaBoost训练过程https://github.com/Jack-Cherish/Machine-Learning/blob/master/AdaBoost/adaboost.py
2.在难数据集上应用AdaBoosthttps://github.com/Jack-Cherish/Machine-Learning/blob/master/AdaBoost/horse_adaboost.py
3.sklearn实现AdaBoosthttps://github.com/Jack-Cherish/Machine-Learning/blob/master/AdaBoost/sklearn_adaboost.py
4.ROC曲线绘制https://github.com/Jack-Cherish/Machine-Learning/blob/master/AdaBoost/ROC.py
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