<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Scanf_void_he的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Scanf_void_he</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Scanf_void_he]]></copyright><item><title><![CDATA[Logistic回归]]></title><link>https://blog.youkuaiyun.com/Scanf_void_he/article/details/128253250</link><guid>https://blog.youkuaiyun.com/Scanf_void_he/article/details/128253250</guid><author>Scanf_void_he</author><pubDate>Fri, 09 Dec 2022 16:16:56 +0800</pubDate><description><![CDATA[logistic回归]]></description><category></category></item><item><title><![CDATA[垃圾邮件分类-朴素贝叶斯算法]]></title><link>https://blog.youkuaiyun.com/Scanf_void_he/article/details/128193789</link><guid>https://blog.youkuaiyun.com/Scanf_void_he/article/details/128193789</guid><author>Scanf_void_he</author><pubDate>Tue, 06 Dec 2022 00:33:45 +0800</pubDate><description><![CDATA[基于朴素贝叶斯的垃圾邮件分类]]></description><category></category></item><item><title><![CDATA[决策树的剪枝]]></title><link>https://blog.youkuaiyun.com/Scanf_void_he/article/details/128038060</link><guid>https://blog.youkuaiyun.com/Scanf_void_he/article/details/128038060</guid><author>Scanf_void_he</author><pubDate>Fri, 25 Nov 2022 16:00:59 +0800</pubDate><description><![CDATA[机器学习决策树的剪枝]]></description><category></category></item><item><title><![CDATA[机器学习决策树]]></title><link>https://blog.youkuaiyun.com/Scanf_void_he/article/details/127887462</link><guid>https://blog.youkuaiyun.com/Scanf_void_he/article/details/127887462</guid><author>Scanf_void_he</author><pubDate>Wed, 16 Nov 2022 21:23:37 +0800</pubDate><description><![CDATA[机器学习决策树]]></description><category></category></item><item><title><![CDATA[K-近邻算法实战]]></title><link>https://blog.youkuaiyun.com/Scanf_void_he/article/details/127605926</link><guid>https://blog.youkuaiyun.com/Scanf_void_he/article/details/127605926</guid><author>Scanf_void_he</author><pubDate>Wed, 02 Nov 2022 17:05:22 +0800</pubDate><description><![CDATA[k-近邻算法实战]]></description><category></category></item><item><title><![CDATA[用Python3 深入理解《机器学习实战》中k-近邻算法中海伦约会网站配对的案例]]></title><link>https://blog.youkuaiyun.com/Scanf_void_he/article/details/127590746</link><guid>https://blog.youkuaiyun.com/Scanf_void_he/article/details/127590746</guid><author>Scanf_void_he</author><pubDate>Sun, 30 Oct 2022 21:47:30 +0800</pubDate><description><![CDATA[前言：机器学习算法的第一次实验，用k-近邻算法来设计一个有关于集美大学的程序，对于刚了解机器学习以及接触python不深的我来说，只能先将教科书上的例子吃透在继续深入]]></description><category></category></item><item><title><![CDATA[用简单实例理解ROC曲线和PR曲线]]></title><link>https://blog.youkuaiyun.com/Scanf_void_he/article/details/127600074</link><guid>https://blog.youkuaiyun.com/Scanf_void_he/article/details/127600074</guid><author>Scanf_void_he</author><pubDate>Sun, 30 Oct 2022 16:48:11 +0800</pubDate><description><![CDATA[用实际例子的应用理解P-R曲线和ROC曲线的原理]]></description><category></category></item><item><title><![CDATA[机器学习环境安装]]></title><link>https://blog.youkuaiyun.com/Scanf_void_he/article/details/127598950</link><guid>https://blog.youkuaiyun.com/Scanf_void_he/article/details/127598950</guid><author>Scanf_void_he</author><pubDate>Sun, 30 Oct 2022 14:53:11 +0800</pubDate><description><![CDATA[本次环境安装直接套用《深度学习》中安装过的环境]]></description><category></category></item></channel></rss>