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Title: GitHub - coderlittxs/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 · GitHub

Open Graph Title: GitHub - coderlittxs/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 - coderlittxs/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 - coderlittxs/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 - coderlittxs/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 - coderlittxs/Machine-Learning

Opengraph URL: https://github.com/coderlittxs/Machine-Learning

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https://github.com/coderlittxs/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
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https://github.com/coderlittxs/Machine-Learning#文章首发声明
http://cuijiahua.com/http://cuijiahua.com/
https://github.com/coderlittxs/Machine-Learning#第二章knnk-邻域算法
个人网站http://cuijiahua.com/blog/2017/11/ml_1_knn.html
CSDNhttp://blog.csdn.net/c406495762/article/details/75172850
知乎https://zhuanlan.zhihu.com/p/28656126
https://github.com/coderlittxs/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/coderlittxs/Machine-Learning#第三章decision-tree决策树
个人网站http://cuijiahua.com/blog/2017/11/ml_2_decision_tree_1.html
CSDNhttp://blog.csdn.net/c406495762/article/details/75663451
知乎https://zhuanlan.zhihu.com/p/28688281
个人网站http://cuijiahua.com/blog/2017/11/ml_3_decision_tree_2.html
CSDNhttp://blog.csdn.net/c406495762/article/details/76262487
知乎https://zhuanlan.zhihu.com/p/28714382
https://github.com/coderlittxs/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/coderlittxs/Machine-Learning#第四章navie-bayes朴素贝叶斯
个人网站http://cuijiahua.com/blog/2017/11/ml_4_bayes_1.html
CSDNhttp://blog.csdn.net/c406495762/article/details/77341116
知乎https://zhuanlan.zhihu.com/p/28719332
个人网站http://cuijiahua.com/blog/2017/11/ml_5_bayes_2.html
CSDNhttp://blog.csdn.net/c406495762/article/details/77500679
知乎https://zhuanlan.zhihu.com/p/28720393
https://github.com/coderlittxs/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/coderlittxs/Machine-Learning#第五章logisticlogistic回归
个人网站http://cuijiahua.com/blog/2017/11/ml_6_logistic_1.html
CSDNhttp://blog.csdn.net/c406495762/article/details/77723333
知乎https://zhuanlan.zhihu.com/p/28922957
个人网站http://cuijiahua.com/blog/2017/11/ml_7_logistic_2.html
CSDNhttp://blog.csdn.net/c406495762/article/details/77851973
知乎https://zhuanlan.zhihu.com/p/29073560
https://github.com/coderlittxs/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/coderlittxs/Machine-Learning#第六章svm支持向量机
个人网站http://cuijiahua.com/blog/2017/11/ml_8_svm_1.html
CSDNhttp://blog.csdn.net/c406495762/article/details/78072313
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个人网站http://cuijiahua.com/blog/2017/11/ml_9_svm_2.html
CSDNhttp://blog.csdn.net/c406495762/article/details/78158354
知乎https://zhuanlan.zhihu.com/p/29872905
https://github.com/coderlittxs/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/coderlittxs/Machine-Learning#第七章adaboost
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CSDNhttp://blog.csdn.net/c406495762/article/details/78212124
知乎https://zhuanlan.zhihu.com/p/30035094
https://github.com/coderlittxs/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
https://github.com/coderlittxs/Machine-Learning#第八章regression
个人网站http://cuijiahua.com/blog/2017/11/ml_11_regression_1.html
CSDNhttp://blog.csdn.net/c406495762/article/details/78760239
知乎https://zhuanlan.zhihu.com/p/31860100
个人网站http://cuijiahua.com/blog/2017/12/ml_12_regression_2.html
https://github.com/coderlittxs/Machine-Learning#代码-6
1.线性回归(普通线性回归+局部加权线性回归)https://github.com/Jack-Cherish/Machine-Learning/blob/master/Regression/regression_old.py
2.预测鲍鱼年龄https://github.com/Jack-Cherish/Machine-Learning/blob/master/Regression/abalone.py
3.逐步线性回归https://github.com/Jack-Cherish/Machine-Learning/blob/master/Regression/regression.py
4.乐高玩具二手价格预测https://github.com/Jack-Cherish/Machine-Learning/blob/master/Regression/lego.py
https://github.com/coderlittxs/Machine-Learning#第九章regression-tree
个人网站http://cuijiahua.com/blog/2017/12/ml_13_regtree_1.html
https://github.com/coderlittxs/Machine-Learning#代码-7
1.树回归https://github.com/Jack-Cherish/Machine-Learning/blob/master/Regression%20Trees/regTrees.py
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