文件列表:

AdaBoost\adaboost.py (5952, 2020-09-25)
AdaBoost\horseColicTest2.txt (13547, 2020-09-25)
AdaBoost\horseColicTraining2.txt (60479, 2020-09-25)
AdaBoost\horse_adaboost.py (5726, 2020-09-25)
AdaBoost\ROC.py (6004, 2020-09-25)
AdaBoost\sklearn_adaboost.py (1320, 2020-09-25)
Decision Tree\classifierStorage.txt (91, 2020-09-25)
Decision Tree\Decision Tree.py (13269, 2020-09-25)
Decision Tree\lenses.txt (771, 2020-09-25)
Decision Tree\Sklearn-Decision Tree.py (2029, 2020-09-25)
Glossary.md (28245, 2020-09-25)
kNN\1.简单k-NN\kNN_test01.py (1347, 2020-09-25)
kNN\1.简单k-NN\kNN_test01_old_method.py (2178, 2020-09-25)
kNN\2.海伦约会\datingTestSet.txt (34725, 2020-09-25)
kNN\2.海伦约会\kNN_test02.py (10422, 2020-09-25)
kNN\3.数字识别\kNN_test03.py (3986, 2020-09-25)
kNN\3.数字识别\kNN_test04.py (2706, 2020-09-25)
kNN\3.数字识别\testDigits\0_0.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_1.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_10.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_11.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_12.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_13.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_14.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_15.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_16.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_17.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_18.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_19.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_2.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_20.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_21.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_22.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_23.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_24.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_25.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_26.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_27.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_28.txt (1056, 2020-09-25)
kNN\3.数字识别\testDigits\0_29.txt (1056, 2020-09-25)
... ...

# Machine-Learning * [In English](https://github.com/Jack-Cherish/Machine-Learning/blob/master/README-eng.md "悬停显示")
原创文章每周最少两篇,**后续最新文章**会在[【公众号】](https://cuijiahua.com/wp-content/uploads/2020/05/gzh-w.jpg)首发,视频[【B站】](https://space.bilibili.com/331507846)首发,大家可以加我[【微信】](https://cuijiahua.com/wp-content/uploads/2020/05/gzh-w.jpg)进**交流群**,技术交流或提意见都可以,欢迎**Star**!

### 文章首发声明 * 文章在自己的个人网站首发,其他平台文章均属转发,如想获得最新更新进展,欢迎关注我的个人网站:http://cuijiahua.com/ ## 第二章:kNN(k-邻域算法) | 文章 | 个人网站 | CSDN | 知乎 | | :------ | :--------: | :--------: | :--------: | | Python3《机器学习实战》学习笔记(一):k-近邻算法(史诗级干货长文) | [个人网站](http://cuijiahua.com/blog/2017/11/ml_1_knn.html "悬停显示") | [CSDN](http://blog.csdn.net/c40***95762/article/details/75172850 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/28656126 "悬停显示") | ### 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 "悬停显示") * [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 "悬停显示") * [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 "悬停显示") ## 第三章:Decision Tree(决策树) | 文章 | 个人网站 | CSDN | 知乎 | | :------ | :--------: | :--------: | :--------: | | Python3《机器学习实战》学习笔记(二):决策树基础篇之让我们从相亲说起 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_2_decision_tree_1.html "悬停显示") | [CSDN](http://blog.csdn.net/c40***95762/article/details/75663451 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/28688281 "悬停显示") | | Python3《机器学习实战》学习笔记(三):决策树实战篇之为自己配个隐形眼镜 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_3_decision_tree_2.html "悬停显示") | [CSDN](http://blog.csdn.net/c40***95762/article/details/76262487 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/28714382 "悬停显示") | ### 代码 * [1.贷款预测](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Decision%20Tree/Decision%20Tree.py "悬停显示") * [2.隐形眼镜](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Decision%20Tree/Sklearn-Decision%20Tree.py "悬停显示") ## 第四章:Navie Bayes(朴素贝叶斯) | 文章 | 个人网站 | CSDN | 知乎 | | :------ | :--------: | :--------: | :--------: | | Python3《机器学习实战》学习笔记(四):朴素贝叶斯基础篇之言论过滤器 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_4_bayes_1.html "悬停显示") | [CSDN](http://blog.csdn.net/c40***95762/article/details/77341116 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/28719332 "悬停显示") | | Python3《机器学习实战》学习笔记(五):朴素贝叶斯实战篇之新浪新闻分类 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_5_bayes_2.html "悬停显示") | [CSDN](http://blog.csdn.net/c40***95762/article/details/77500679 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/28720393 "悬停显示") | ### 代码 * [1.言论过滤器](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Naive%20Bayes/bayes.py "悬停显示") * [2.垃圾邮件过滤器](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Naive%20Bayes/bayes-modify.py "悬停显示") * [3.新浪新闻分类器](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Naive%20Bayes/nbc.py "悬停显示") ## 第五章:Logistic(Logistic回归) | 文章 | 个人网站 | CSDN | 知乎 | | :------ | :--------: | :--------: | :--------: | | Python3《机器学习实战》学习笔记(六):Logistic回归基础篇之梯度上升算法 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_6_logistic_1.html "悬停显示") | [CSDN](http://blog.csdn.net/c40***95762/article/details/77723333 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/28922957 "悬停显示") | | Python3《机器学习实战》学习笔记(七):Logistic回归实战篇之预测病马死亡率 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_7_logistic_2.html "悬停显示") | [CSDN](http://blog.csdn.net/c40***95762/article/details/77851973 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/29073560 "悬停显示") | ### 代码 * [1.Logistic基础训练](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Logistic/LogRegres.py "悬停显示") * [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 "悬停显示") * [3.病马死亡率预测](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Logistic/colicLogRegres.py "悬停显示") ## 第六章:SVM(支持向量机) | 文章 | 个人网站 | CSDN | 知乎 | | :------ | :--------: | :--------: | :--------: | | Python3《机器学习实战》学习笔记(八):支持向量机原理篇之手撕线性SVM | [个人网站](http://cuijiahua.com/blog/2017/11/ml_8_svm_1.html "悬停显示") | [CSDN](http://blog.csdn.net/c40***95762/article/details/78072313 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/29604517 "悬停显示") | | Python3《机器学习实战》学习笔记(九):支持向量机实战篇之再撕非线性SVM | [个人网站](http://cuijiahua.com/blog/2017/11/ml_9_svm_2.html "悬停显示") | [CSDN](http://blog.csdn.net/c40***95762/article/details/78158354 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/2***72905 "悬停显示") | ### 代码 * [1.简化版SMO算法](https://github.com/Jack-Cherish/Machine-Learning/blob/master/SVM/svm-simple.py "悬停显示") * [2.完整版SMO算法](https://github.com/Jack-Cherish/Machine-Learning/blob/master/SVM/svm-smo.py "悬停显示") * [3.非线性SVM](https://github.com/Jack-Cherish/Machine-Learning/blob/master/SVM/svmMLiA.py "悬停显示") * [4.Sklearn SVC手写数字识别](https://github.com/Jack-Cherish/Machine-Learning/blob/master/SVM/svm-svc.py "悬停显示") ## 第七章:AdaBoost | 文章 | 个人网站 | CSDN | 知乎 | | :------ | :--------: | :--------: | :--------: | | Python3《机器学习实战》学习笔记(十):提升分类器性能利器-AdaBoost | [个人网站](http://cuijiahua.com/blog/2017/11/ml_10_adaboost.html "悬停显示") | [CSDN](http://blog.csdn.net/c40***95762/article/details/78212124 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/30035094 "悬停显示") | ### 代码 * [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 "悬停显示") * [2.在难数据集上应用AdaBoost](https://github.com/Jack-Cherish/Machine-Learning/blob/master/AdaBoost/horse_adaboost.py "悬停显示") * [3.sklearn实现AdaBoost](https://github.com/Jack-Cherish/Machine-Learning/blob/master/AdaBoost/sklearn_adaboost.py "悬停显示") * [4.ROC曲线绘制](https://github.com/Jack-Cherish/Machine-Learning/blob/master/AdaBoost/ROC.py "悬停显示") ## 第八章:Regression | 文章 | 个人网站 | CSDN | 知乎 | | :------ | :--------: | :--------: | :--------: | | Python3《机器学习实战》学习笔记(十一):线性回归基础篇之预测鲍鱼年龄 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_11_regression_1.html "悬停显示") |[CSDN](http://blog.csdn.net/c40***95762/article/details/78760239 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/31860100 "悬停显示")| | Python3《机器学习实战》学习笔记(十二):线性回归提高篇之乐高玩具套件二手价预测 | [个人网站](http://cuijiahua.com/blog/2017/12/ml_12_regression_2.html "悬停显示") | no | no | ### 代码 * [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 "悬停显示") * [2.预测鲍鱼年龄](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Regression/abalone.py "悬停显示") * [3.逐步线性回归](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Regression/regression.py "悬停显示") * [4.乐高玩具二手价格预测](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Regression/lego.py "悬停显示") ## 第九章:Regression Tree | 文章 | 个人网站 | CSDN | 知乎 | | :------ | :--------: | :--------: | :--------: | | Python3《机器学习实战》学习笔记(十三):树回归基础篇之CART算法与树剪枝 | [个人网站](http://cuijiahua.com/blog/2017/12/ml_13_regtree_1.html "悬停显示") | no | no | ### 代码 * [1.树回归](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Regression%20Trees/regTrees.py "悬停显示") 更多精彩,敬请期待!

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