[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-9668":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":15,"compositeScore":19,"rankGlobal":10,"rankLanguage":10,"license":10,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":20,"hasPages":20,"topics":22,"createdAt":10,"pushedAt":10,"updatedAt":35,"readmeContent":36,"aiSummary":37,"trendingCount":16,"starSnapshotCount":16,"syncStatus":38,"lastSyncTime":39,"discoverSource":40},9668,"Machine-Learning","Jack-Cherish\u002FMachine-Learning","Jack-Cherish",":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","https:\u002F\u002Fcuijiahua.com\u002Fblog\u002Fml\u002F",null,"Python",10325,5086,268,3,0,1,25,45,false,"master",[23,24,25,26,27,28,29,30,31,32,33,34],"adaboost","adaboost-algorithm","decision-tree","knn","logistic","machine-learning","navie-bayes-algorithm","python","python3","regression","smo","svm","2026-06-12 02:02:10","# Machine-Learning\n* [In English](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FREADME-eng.md \"悬停显示\")\u003Cbr>\n\n原创文章每周最少两篇，**后续最新文章**会在[【公众号】](https:\u002F\u002Fcuijiahua.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fgzh-w.jpg)首发，视频[【B站】](https:\u002F\u002Fspace.bilibili.com\u002F331507846)首发，大家可以加我[【微信】](https:\u002F\u002Fcuijiahua.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fgzh-w.jpg)进**交流群**，技术交流或提意见都可以，欢迎**Star**！\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fcuijiahua.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fgzh-w.jpg\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FweChat-微信群-blue.svg\" alt=\"微信群\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fcuijiahua.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fgzh-w.jpg\" target=\"_blank\">\u003Cimg 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src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Ftoutiao-%E5%A4%B4%E6%9D%A1-important.svg\" alt=\"头条\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fjuejin.im\u002Fuser\u002F5ea2ca74e51d4546b50d5f9f\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fjuejin-掘金-blue.svg\" alt=\"掘金\">\u003C\u002Fa>\n\u003C\u002Fp>\n\t\n### 文章首发声明\n\n* 文章在自己的公众号和个人网站首发，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:\u002F\u002Fcuijiahua.com\u002F\n\n## 第二章：kNN（k-邻域算法）\n\n|   文章   |  个人网站  |    CSDN    |    知乎    |\n| :------  | :--------: | :--------: | :--------: |\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F11\u002Fml_1_knn.html \"悬停显示\") | [CSDN](http:\u002F\u002Fblog.csdn.net\u002Fc406495762\u002Farticle\u002Fdetails\u002F75172850 \"悬停显示\") | [知乎](https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F28656126 \"悬停显示\") |\n\n\n### 代码\n\n* [1.简单k-NN](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Ftree\u002Fmaster\u002FkNN\u002F1.%E7%AE%80%E5%8D%95k-NN \"悬停显示\")\n\n* [2.海伦约会](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Ftree\u002Fmaster\u002FkNN\u002F2.%E6%B5%B7%E4%BC%A6%E7%BA%A6%E4%BC%9A \"悬停显示\")\n\n* [3.数字识别](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Ftree\u002Fmaster\u002FkNN\u002F3.%E6%95%B0%E5%AD%97%E8%AF%86%E5%88%AB \"悬停显示\")\n\n## 第三章：Decision Tree（决策树）\n\n|   文章   |  个人网站  |    CSDN    |    知乎    |\n| :------  | :--------: | :--------: | :--------: |\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F11\u002Fml_2_decision_tree_1.html \"悬停显示\") | [CSDN](http:\u002F\u002Fblog.csdn.net\u002Fc406495762\u002Farticle\u002Fdetails\u002F75663451 \"悬停显示\") | [知乎](https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F28688281 \"悬停显示\") |\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F11\u002Fml_3_decision_tree_2.html \"悬停显示\") | [CSDN](http:\u002F\u002Fblog.csdn.net\u002Fc406495762\u002Farticle\u002Fdetails\u002F76262487 \"悬停显示\") | [知乎](https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F28714382 \"悬停显示\") |\n\n### 代码\n  \n* [1.贷款预测](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FDecision%20Tree\u002FDecision%20Tree.py \"悬停显示\")\n\n* [2.隐形眼镜](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FDecision%20Tree\u002FSklearn-Decision%20Tree.py \"悬停显示\")\n\n## 第四章：Navie Bayes（朴素贝叶斯）\n\n|   文章   |  个人网站  |    CSDN    |    知乎    |\n| :------  | :--------: | :--------: | :--------: |\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F11\u002Fml_4_bayes_1.html \"悬停显示\") | [CSDN](http:\u002F\u002Fblog.csdn.net\u002Fc406495762\u002Farticle\u002Fdetails\u002F77341116 \"悬停显示\") | [知乎](https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F28719332 \"悬停显示\") |\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F11\u002Fml_5_bayes_2.html \"悬停显示\") | [CSDN](http:\u002F\u002Fblog.csdn.net\u002Fc406495762\u002Farticle\u002Fdetails\u002F77500679 \"悬停显示\") | [知乎](https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F28720393 \"悬停显示\") |\n\n### 代码\n  \n* [1.言论过滤器](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FNaive%20Bayes\u002Fbayes.py \"悬停显示\")\n\n* [2.垃圾邮件过滤器](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FNaive%20Bayes\u002Fbayes-modify.py \"悬停显示\")\n\n* [3.新浪新闻分类器](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FNaive%20Bayes\u002Fnbc.py \"悬停显示\")\n  \n## 第五章：Logistic（Logistic回归）\n\n|   文章   |  个人网站  |    CSDN    |    知乎    |\n| :------  | :--------: | :--------: | :--------: |\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F11\u002Fml_6_logistic_1.html \"悬停显示\") | [CSDN](http:\u002F\u002Fblog.csdn.net\u002Fc406495762\u002Farticle\u002Fdetails\u002F77723333 \"悬停显示\") | [知乎](https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F28922957 \"悬停显示\") |\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F11\u002Fml_7_logistic_2.html \"悬停显示\") | [CSDN](http:\u002F\u002Fblog.csdn.net\u002Fc406495762\u002Farticle\u002Fdetails\u002F77851973 \"悬停显示\") | [知乎](https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F29073560 \"悬停显示\") |\n\n### 代码\n\n* [1.Logistic基础训练](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FLogistic\u002FLogRegres.py \"悬停显示\")\n\n* [2.改进的随机梯度上升算法](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FLogistic\u002FLogRegres-gj.py \"悬停显示\")\n\n* [3.病马死亡率预测](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FLogistic\u002FcolicLogRegres.py \"悬停显示\")\n\n## 第六章：SVM（支持向量机）\n\n|   文章   |  个人网站  |    CSDN    |    知乎    |\n| :------  | :--------: | :--------: | :--------: |\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F11\u002Fml_8_svm_1.html \"悬停显示\") | [CSDN](http:\u002F\u002Fblog.csdn.net\u002Fc406495762\u002Farticle\u002Fdetails\u002F78072313 \"悬停显示\") | [知乎](https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F29604517 \"悬停显示\") |\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F11\u002Fml_9_svm_2.html \"悬停显示\") | [CSDN](http:\u002F\u002Fblog.csdn.net\u002Fc406495762\u002Farticle\u002Fdetails\u002F78158354 \"悬停显示\") | [知乎](https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F29872905 \"悬停显示\") |\n\n### 代码\n\n* [1.简化版SMO算法](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FSVM\u002Fsvm-simple.py \"悬停显示\")\n\n* [2.完整版SMO算法](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FSVM\u002Fsvm-smo.py \"悬停显示\")\n\n* [3.非线性SVM](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FSVM\u002FsvmMLiA.py \"悬停显示\")\n\n* [4.Sklearn SVC手写数字识别](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FSVM\u002Fsvm-svc.py \"悬停显示\")\n\n## 第七章：AdaBoost\n\n|   文章   |  个人网站  |    CSDN    |    知乎    |\n| :------  | :--------: | :--------: | :--------: |\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F11\u002Fml_10_adaboost.html \"悬停显示\") | [CSDN](http:\u002F\u002Fblog.csdn.net\u002Fc406495762\u002Farticle\u002Fdetails\u002F78212124 \"悬停显示\") | [知乎](https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F30035094 \"悬停显示\") |\n\n### 代码\n\n* [1.基于单层决策树的AdaBoost训练过程](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FAdaBoost\u002Fadaboost.py \"悬停显示\")\n\n* [2.在难数据集上应用AdaBoost](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FAdaBoost\u002Fhorse_adaboost.py \"悬停显示\")\n\n* [3.sklearn实现AdaBoost](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FAdaBoost\u002Fsklearn_adaboost.py \"悬停显示\")\n\n* [4.ROC曲线绘制](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FAdaBoost\u002FROC.py \"悬停显示\")\n\n## 第八章：Regression\n\n|   文章   |  个人网站  |    CSDN    |    知乎    |\n| :------  | :--------: | :--------: | :--------: |\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F11\u002Fml_11_regression_1.html \"悬停显示\") |[CSDN](http:\u002F\u002Fblog.csdn.net\u002Fc406495762\u002Farticle\u002Fdetails\u002F78760239 \"悬停显示\") | [知乎](https:\u002F\u002Fzhuanlan.zhihu.com\u002Fp\u002F31860100  \"悬停显示\")|\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F12\u002Fml_12_regression_2.html \"悬停显示\") | no | no |\n\n### 代码\n\n* [1.线性回归(普通线性回归+局部加权线性回归)](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FRegression\u002Fregression_old.py \"悬停显示\")\n\n* [2.预测鲍鱼年龄](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FRegression\u002Fabalone.py \"悬停显示\")\n\n* [3.逐步线性回归](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FRegression\u002Fregression.py \"悬停显示\")\n\n* [4.乐高玩具二手价格预测](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FRegression\u002Flego.py \"悬停显示\")\n\n## 第九章：Regression Tree\n\n|   文章   |  个人网站  |    CSDN    |    知乎    |\n| :------  | :--------: | :--------: | :--------: |\n| 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:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2017\u002F12\u002Fml_13_regtree_1.html \"悬停显示\") | no | no |\n\n\n### 代码\n\n* [1.树回归](https:\u002F\u002Fgithub.com\u002FJack-Cherish\u002FMachine-Learning\u002Fblob\u002Fmaster\u002FRegression%20Trees\u002FregTrees.py \"悬停显示\")\n\n## 聚类\n\n|   文章   |  个人网站  |    公众号    |\n| :------  | :--------: | :--------: |\n| 嘿，来聚个类！| [个人网站](https:\u002F\u002Fcuijiahua.com\u002Fblog\u002F2021\u002F04\u002Fml-14.html) | [公众号](https:\u002F\u002Fmp.weixin.qq.com\u002Fs\u002FoxB5icj8KOfFja8XTHf7jg) |\n\n更多精彩，敬请期待！\n\n\u003Ca name=\"微信\">\u003C\u002Fa>  \u003Ca name=\"公众号\">\u003C\u002Fa>\n\n\u003Cimg src=\"https:\u002F\u002Fftp.bmp.ovh\u002Fimgs\u002F2020\u002F07\u002F112254f0199e3d4f.jpg\" alt=\"wechat\" width=\"400\" height=\"200\" align=\"bottom\" \u002F>\n","Jack-Cherish\u002FMachine-Learning 是一个基于 Python3 的机器学习实战项目，涵盖了 kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归和树回归等多种算法的实现。该项目通过详细的代码示例和文章教程，帮助开发者理解和掌握这些经典机器学习算法的核心原理和技术细节。适合初学者入门学习以及有一定基础的开发者进行实践和参考，特别适用于那些希望在实际问题中应用机器学习技术的场景。",2,"2026-06-11 03:24:07","top_topic"]