<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[April_0911]]></title><description><![CDATA[爱你所爱   行你所行   听从你心   无问西东]]></description><link>https://blog.youkuaiyun.com/Time_D</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Time_D]]></copyright><item><title><![CDATA[Datawhale-Linux实践]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/122006038</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/122006038</guid><author>Time_D</author><pubDate>Fri, 17 Dec 2021 23:45:46 +0800</pubDate><description><![CDATA[记录学习Linux的点点滴滴]]></description><category></category></item><item><title><![CDATA[Python办公自动化（五）：爬虫入门与综合应用]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/118256317</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/118256317</guid><author>Time_D</author><pubDate>Sat, 26 Jun 2021 23:45:09 +0800</pubDate><description><![CDATA[这篇博文是 **Python办公自动化** 的第五部分，主要是简单介绍**网络爬虫**理论及其应用]]></description><category></category></item><item><title><![CDATA[Python办公自动化（四）：PDF处理自动化]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/118167122</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/118167122</guid><author>Time_D</author><pubDate>Thu, 24 Jun 2021 01:37:05 +0800</pubDate><description><![CDATA[这篇博文是 **Python办公自动化** 的第二部分，主要是介绍**PDF**的自动化处理]]></description><category></category></item><item><title><![CDATA[Python办公自动化（三）：Word处理自动化]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/118077782</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/118077782</guid><author>Time_D</author><pubDate>Mon, 21 Jun 2021 00:49:09 +0800</pubDate><description><![CDATA[这篇博文是 **Python办公自动化** 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的第一部分，主要是介绍**文件**的自动化处理]]></description><category></category></item><item><title><![CDATA[DataWhale集成学习【下】：（四）蒸汽量预测]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/117202482</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/117202482</guid><author>Time_D</author><pubDate>Sun, 23 May 2021 23:38:01 +0800</pubDate><description><![CDATA[这篇博文是 **DataWhale集成学习【下】** 的第四部分，主要是介绍 案例：蒸汽量预测 的完整流程]]></description><category></category></item><item><title><![CDATA[DataWhale集成学习【下】：（三）幸福感预测]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/117003268</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/117003268</guid><author>Time_D</author><pubDate>Tue, 18 May 2021 23:26:22 +0800</pubDate><description><![CDATA[这篇博文是 **DataWhale集成学习【下】** 的第三部分，主要是介绍 案例：幸福感预测 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的第二部分，主要是介绍**Blending**的思想原理以及实现应用]]></description><category></category></item><item><title><![CDATA[DataWhale集成学习【中】：（三）Boosting]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/115911998</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/115911998</guid><author>Time_D</author><pubDate>Tue, 20 Apr 2021 20:23:31 +0800</pubDate><description><![CDATA[这篇博文是 **DataWhale集成学习【中】** 的第二部分，主要是介绍**Boosting**的思想原理以及其衍生的各种算法]]></description><category></category></item><item><title><![CDATA[DataWhale集成学习【中】：（二）Bagging]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/115802703</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/115802703</guid><author>Time_D</author><pubDate>Sat, 17 Apr 2021 22:32:45 +0800</pubDate><description><![CDATA[这篇博文是 **DataWhale集成学习【中】** 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+0800</pubDate><description><![CDATA[本篇博客主要介绍的是**模型融合**]]></description><category></category></item><item><title><![CDATA[模型调参]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/115218381</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/115218381</guid><author>Time_D</author><pubDate>Thu, 25 Mar 2021 21:20:52 +0800</pubDate><description><![CDATA[本篇博客主要介绍的是**模型调参**]]></description><category></category></item><item><title><![CDATA[DataWhale集成学习【上】：（三）回归模型优化]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/115148065</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/115148065</guid><author>Time_D</author><pubDate>Tue, 23 Mar 2021 22:23:14 +0800</pubDate><description><![CDATA[这篇博文是[DataWhale集成学习【上】](https://blog.youkuaiyun.com/Time_D/article/details/114339829)的第三部分，主要是介绍**机器学习里常用的回归模型的评判优化部分**]]></description><category></category></item><item><title><![CDATA[特征工程]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/115096407</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/115096407</guid><author>Time_D</author><pubDate>Mon, 22 Mar 2021 22:22:15 +0800</pubDate><description><![CDATA[本篇博客主要介绍的是**特征工程**]]></description><category></category></item><item><title><![CDATA[探索性数据分析（EDA）]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/115017318</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/115017318</guid><author>Time_D</author><pubDate>Fri, 19 Mar 2021 23:49:44 +0800</pubDate><description><![CDATA[本篇博客主要介绍的是**探索性数据分析以及其Python实现**]]></description><category></category></item><item><title><![CDATA[DataWhale集成学习【上】：（二）基本回归模型]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/114990418</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/114990418</guid><author>Time_D</author><pubDate>Thu, 18 Mar 2021 23:14:32 +0800</pubDate><description><![CDATA[这篇博文是[DataWhale集成学习【上】](https://blog.youkuaiyun.com/Time_D/article/details/114339829)的第二部分，主要是介绍**机器学习里常用的回归模型**]]></description><category></category></item><item><title><![CDATA[Python入门（后传—天池龙珠计划）：（五)]]></title><link>https://blog.youkuaiyun.com/Time_D/article/details/114859333</link><guid>https://blog.youkuaiyun.com/Time_D/article/details/114859333</guid><author>Time_D</author><pubDate>Tue, 16 Mar 2021 00:35:46 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