<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Letmooning的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Letmooning</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Letmooning]]></copyright><item><title><![CDATA[[自然语言处理]RNN]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/142787722</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/142787722</guid><author>Letmooning</author><pubDate>Wed, 09 Oct 2024 22:20:04 +0800</pubDate><description><![CDATA[【代码】[自然语言处理]RNN。]]></description><category></category></item><item><title><![CDATA[[自然语言处理]概述]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/142735353</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/142735353</guid><author>Letmooning</author><pubDate>Mon, 07 Oct 2024 12:11:48 +0800</pubDate><description><![CDATA[【代码】[自然语言处理]概述。]]></description><category></category></item><item><title><![CDATA[[深度学习]循环神经网络RNN]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/142584215</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/142584215</guid><author>Letmooning</author><pubDate>Fri, 27 Sep 2024 11:52:38 +0800</pubDate><description><![CDATA[【代码】[深度学习]循环神经网络。]]></description><category></category></item><item><title><![CDATA[[深度学习]卷积神经网络CNN]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/142546262</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/142546262</guid><author>Letmooning</author><pubDate>Thu, 26 Sep 2024 12:10:37 +0800</pubDate><description><![CDATA[卷积层conv+relu池化层pool全连接层FC/Linear。]]></description><category></category></item><item><title><![CDATA[[深度学习]神经网络]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/142364961</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/142364961</guid><author>Letmooning</author><pubDate>Fri, 20 Sep 2024 11:42:24 +0800</pubDate><description><![CDATA[【代码】[深度学习]神经网络。]]></description><category></category></item><item><title><![CDATA[[深度学习]Pytorch框架]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/142323414</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/142323414</guid><author>Letmooning</author><pubDate>Wed, 18 Sep 2024 21:05:17 +0800</pubDate><description><![CDATA[约等于numpy(ndarray数组)+sklearnpytorch使用的数据类型为tensor(张量)tensorflow--谷歌；昇思--华为。]]></description><category></category></item><item><title><![CDATA[[机器学习]聚类算法]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/142201965</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/142201965</guid><author>Letmooning</author><pubDate>Fri, 13 Sep 2024 11:58:06 +0800</pubDate><description><![CDATA[【代码】[机器学习]聚类算法。]]></description><category></category></item><item><title><![CDATA[[机器学习]决策树]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/142142374</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/142142374</guid><author>Letmooning</author><pubDate>Wed, 11 Sep 2024 22:27:14 +0800</pubDate><description><![CDATA[1 决策树简介



2 信息熵







3 ID3决策树

3.1 决策树构建流程



3.2 决策树案例







4 C4.5决策树






]]></description><category></category></item><item><title><![CDATA[[机器学习]逻辑回归]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/142053703</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/142053703</guid><author>Letmooning</author><pubDate>Mon, 09 Sep 2024 18:28:07 +0800</pubDate><description><![CDATA[【代码】[机器学习]逻辑回归。]]></description><category></category></item><item><title><![CDATA[[机器学习]线性回归算法]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/141954126</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/141954126</guid><author>Letmooning</author><pubDate>Fri, 06 Sep 2024 18:18:59 +0800</pubDate><description><![CDATA[利用回归方程（函数）对一个或多个自变量（特征值）和因变量（目标值）之间关系进行建模的一种分析方式。]]></description><category></category></item><item><title><![CDATA[[机器学习]KNN算法]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/141917588</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/141917588</guid><author>Letmooning</author><pubDate>Thu, 05 Sep 2024 18:32:45 +0800</pubDate><description><![CDATA[【代码】KNN算法。]]></description><category></category></item><item><title><![CDATA[[机器学习]概述]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/141883431</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/141883431</guid><author>Letmooning</author><pubDate>Wed, 04 Sep 2024 17:48:38 +0800</pubDate><description><![CDATA[房价预测案例有监督学习模型训练和预测sklearn 中的算法选择图（中文）_sklearn算法地图-优快云博客]]></description><category></category></item><item><title><![CDATA[[数据分析]Matplotlib]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/141858094</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/141858094</guid><author>Letmooning</author><pubDate>Tue, 03 Sep 2024 17:20:05 +0800</pubDate><description><![CDATA[什么是matplotlib是专门用于开发2D(3D)图表的包绘制图像流程1.创建画布 -- plt.figure(figsize=(20,8), dpi=100)2.绘制图像 -- plt.plot(x, y)3.显示图像 -- plt.show()]]></description><category></category></item><item><title><![CDATA[[数据分析]Numpy]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/141848247</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/141848247</guid><author>Letmooning</author><pubDate>Tue, 03 Sep 2024 12:03:27 +0800</pubDate><description><![CDATA[一个开源的Python科学计算库计算起来要比python简洁高效Numpy使用ndarray对象来处理多维数组NumPy提供了一个N维数组类型ndarray，它描述了相同类型的“items”的集合。生成numpy对象:np.array()]]></description><category></category></item><item><title><![CDATA[[数据分析]Pandas]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/141781809</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/141781809</guid><author>Letmooning</author><pubDate>Sun, 01 Sep 2024 19:35:14 +0800</pubDate><description><![CDATA[Dataframe包含Series。]]></description><category></category></item><item><title><![CDATA[[数据分析]MySQL]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/141667292</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/141667292</guid><author>Letmooning</author><pubDate>Thu, 29 Aug 2024 18:35:40 +0800</pubDate><description><![CDATA[查看数据库# 创建数据库# 创建数据库建议直接设置编码格式# 删除数据库# 创建数据库# 查看数据库# 指定使用的数据库# 查看当前使用的数据库# 删除数据库# 创建表id int,age int,gender enum('男','女'),# 查看数据表# 创建表# decimal(字段长度，保留几位小数)id int,# 查看表有哪些字段# 重命名表名# 查看表名# 删除数据表# 创建默认编码的数据库（公司1）]]></description><category></category></item><item><title><![CDATA[[Linux]操作系统]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/141567613</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/141567613</guid><author>Letmooning</author><pubDate>Tue, 27 Aug 2024 19:37:05 +0800</pubDate><description><![CDATA[linux操作系统]]></description><category></category></item><item><title><![CDATA[[Python]浅拷贝&深拷贝]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/141504104</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/141504104</guid><author>Letmooning</author><pubDate>Mon, 26 Aug 2024 22:50:18 +0800</pubDate><description><![CDATA[深拷贝、浅拷贝]]></description><category></category></item><item><title><![CDATA[[Python]算法 & 数据结构]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/141521166</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/141521166</guid><author>Letmooning</author><pubDate>Sun, 25 Aug 2024 21:44:42 +0800</pubDate><description><![CDATA[算法、数据结构]]></description><category></category></item><item><title><![CDATA[[Python]使用生成器节约内存]]></title><link>https://blog.youkuaiyun.com/Letmooning/article/details/141503124</link><guid>https://blog.youkuaiyun.com/Letmooning/article/details/141503124</guid><author>Letmooning</author><pubDate>Sat, 24 Aug 2024 19:46:28 +0800</pubDate><description><![CDATA[Python生成器]]></description><category></category></item></channel></rss>