吴恩达Machine Learning课程对应Jupyter代码（第一课 P1-41）
吴恩达Machine Learning课程对应Jupyter代码（第一课 P1-41）
压缩包包含吴恩达课程的第一部分 监督学习、回归与分析 的课程ppt和一系列基于Jupyter Notebook的Python代码，主要用于教授机器学习的基础知识。
本资源适用于对机器学习和Python编程感兴趣的初学者。
通过这个压缩包，可以按照吴恩达的教学步骤，亲手实践每一个例子，从而加深对机器学习的理解。每一章的Notebook都可能包含理论解释、代码示例和练习，帮助你巩固所学知识。
可结合作者已整理的笔记展开：
https://blog.csdn.net/weixin_46632427/article/details/144102661?spm=1001.2014.3001.5502
https://blog.csdn.net/weixin_46632427/article/details/145431040?spm=1001.2014.3001.5502
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style='color:steelblue;'>文件过多，未全部展示</span>","children":null,"spread":false}],"spread":true}]
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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明