{"id":13617663,"url":"https://github.com/apachecn/fe4ml-zh","last_synced_at":"2025-10-09T12:03:44.130Z","repository":{"id":41094937,"uuid":"133822230","full_name":"apachecn/fe4ml-zh","owner":"apachecn","description":":book: [译] 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面向机器学习的特征工程\n\n![](cover.jpg)\n\n\u003e 原文（注册后可阅读）：[Feature Engineering for Machine Learning (Early Release)](https://www.safaribooksonline.com/library/view/feature-engineering-for/9781491953235/)\n\u003e \n\u003e 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/)\n\u003e \n\u003e **欢迎任何人参与和完善：一个人可以走的很快，但是一群人却可以走的更远**\n\n* [在线阅读](http://fe4ml.apachecn.org)\n* [在线阅读（Gitee）](https://apachecn.gitee.io/fe4ml-zh/)\n* [ApacheCN 机器学习交流群 629470233](http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef)\n* [ApacheCN 学习资源](http://www.apachecn.org/)\n* [利用 Python 进行数据分析 第二版](https://github.com/apachecn/pyda-2e-zh)\n\n## 目录\n\n+   [一、引言](docs/1.引言.md)\n+   [二、简单数字的奇特技巧](docs/2.简单数字的奇特技巧.md)\n+   [三、文本数据：展开、过滤和分块](docs/3.文本数据.md)\n+   [四、特征缩放的效果：从词袋到 TF-IDF](docs/4.特征缩放的效果：从词袋到_TF-IDF.md)\n+   [五、类别特征：机器鸡时代的鸡蛋计数](docs/5.类别特征.md)\n+   [六、降维：使用 PCA 压缩数据集](docs/6.降维：用_PCA_压缩数据集.md)\n+   [七、非线性特征提取和模型堆叠](docs/7.非线性特征提取和模型堆叠.md)\n+   [八、自动化特征提取器：图像特征提取和深度学习](docs/8.自动化特征提取器：图像特征提取和深度学习.md)\n+   九、回到特征：将它们放到一起\n+   [附录、线性模型和线性代数基础](docs/附录.线性模型和线性代数基础.md)\n\n## 负责人\n\n* [@飞龙](https://github.com/wizardforcel): 562826179\n\n## 免责声明\n\nApacheCN 纯粹出于学习目的与个人兴趣翻译本书，不追求任何经济利益。\n\n本译文只供学习研究参考之用，不得用于商业用途。ApacheCN 保留对此版本译文的署名权及其它相关权利。\n\n## 下载\n\n### Docker\n\n```\ndocker pull apachecn0/fe4ml-zh\ndocker run -tid -p \u003cport\u003e:80 apachecn0/fe4ml-zh\n# 访问 http://localhost:{port} 查看文档\n```\n\n### PYPI\n\n```\npip install fe4ml-zh\nfe4ml-zh \u003cport\u003e\n# 访问 http://localhost:{port} 查看文档\n```\n\n### NPM\n\n```\nnpm install -g fe4ml-zh\nfe4ml-zh \u003cport\u003e\n# 访问 http://localhost:{port} 查看文档\n```\n\n## 赞助我们\n\n\u003cimg src=\"http://www.apachecn.org/img/about/donate.jpg\" alt=\"微信\u0026支付宝\" /\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapachecn%2Ffe4ml-zh","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fapachecn%2Ffe4ml-zh","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapachecn%2Ffe4ml-zh/lists"}