<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[adamlay的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/adamlay</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; adamlay]]></copyright><item><title><![CDATA[DeepSeek使用教程]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/145730588</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/145730588</guid><author>adamlay</author><pubDate>Wed, 19 Feb 2025 15:20:11 +0800</pubDate><description><![CDATA[AI-deepseek]]></description><category></category></item><item><title><![CDATA[6、指针----]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/140829179</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/140829179</guid><author>adamlay</author><pubDate>Wed, 31 Jul 2024 18:11:13 +0800</pubDate><description><![CDATA[指针变量：用一个变量来存放另一个变量的地址，该变量即为指针变量。指针变量占内存大小，32位程序占4字节，64位占8字节。]]></description><category></category></item><item><title><![CDATA[黑马-数据分析]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/136368605</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/136368605</guid><author>adamlay</author><pubDate>Thu, 29 Feb 2024 13:25:15 +0800</pubDate><description><![CDATA[4. Excel-基本函数

]]></description><category></category></item><item><title><![CDATA[智能风控实践指南从模型特征到决策]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/135602771</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/135602771</guid><author>adamlay</author><pubDate>Mon, 15 Jan 2024 15:27:10 +0800</pubDate><description><![CDATA[智能风控实践指南从模型特征到决策

]]></description><category></category></item><item><title><![CDATA[5.一维数组与字符数组]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/131521719</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/131521719</guid><author>adamlay</author><pubDate>Mon, 03 Jul 2023 18:52:44 +0800</pubDate><description><![CDATA[数组：指一组具有相同数据类型的数据的有序集合。类型说明符 数组名[常量表达式];一维数组的定义格式为。]]></description><category></category></item><item><title><![CDATA[4.选择、循环]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/131473904</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/131473904</guid><author>adamlay</author><pubDate>Fri, 30 Jun 2023 12:12:20 +0800</pubDate><description><![CDATA[4.选择、循环

]]></description><category></category></item><item><title><![CDATA[3.运算符与表达式]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/131461078</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/131461078</guid><author>adamlay</author><pubDate>Thu, 29 Jun 2023 18:31:27 +0800</pubDate><description><![CDATA[算术运算符>关系运算符>&&>||>赋值运算符。]]></description><category></category></item><item><title><![CDATA[2.数据的类型、数据的输入输出]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/131395981</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/131395981</guid><author>adamlay</author><pubDate>Mon, 26 Jun 2023 14:00:10 +0800</pubDate><description><![CDATA[2.数据的类型、数据的输入输出2.1 数据类型-常量-变量(整型-浮点-字符)2.1.1 数据类型
2.1 数据类型-常量-变量(整型-浮点-字符)
2.1.1 数据类型


]]></description><category></category></item><item><title><![CDATA[概率论与数理统计]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/126287816</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/126287816</guid><author>adamlay</author><pubDate>Thu, 11 Aug 2022 16:18:47 +0800</pubDate><description><![CDATA[概率论]]></description><category></category></item><item><title><![CDATA[Python数据科学手册]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/119188620</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/119188620</guid><author>adamlay</author><pubDate>Wed, 28 Jul 2021 19:54:28 +0800</pubDate><description><![CDATA[Python数据科学手册3.Pandas数据处理3.1 安装并使用Pandas
3.Pandas数据处理
3.1 安装并使用Pandas

]]></description><category></category></item><item><title><![CDATA[进阶三方库]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/118751775</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/118751775</guid><author>adamlay</author><pubDate>Thu, 15 Jul 2021 09:23:05 +0800</pubDate><description><![CDATA[进阶三方库Jieba
Jieba




函数
作用
备注




jieba.lcut(seg_str)
精简模式，返回一个列表类型的结果
试图将句子最精确地切开，适合文本分析


jieba.lcut(seg_str, cut_all=True)))
全模式，使用 ‘cut_all=True’ 指定
句子中所有的可以成词的词语都扫描出来, 速度非常快，但是不能解决歧义


jieba.lcut_for_search(seg_str)))
搜索引擎模式
在精确模式的基础上，对长词再次切分，提高召回率，适合]]></description><category></category></item><item><title><![CDATA[Pandas]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/118521382</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/118521382</guid><author>adamlay</author><pubDate>Tue, 06 Jul 2021 15:17:08 +0800</pubDate><description><![CDATA[Pandas（数据科学手册）一级目录
一级目录

]]></description><category></category></item><item><title><![CDATA[PyMySQL]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/118494425</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/118494425</guid><author>adamlay</author><pubDate>Mon, 05 Jul 2021 17:15:12 +0800</pubDate><description><![CDATA[# 定义返回函数
def get_df_from_mysql(sql):
    import pymysql
    conn = pymysql.connect(
        host="17......",
        port=3306,
        user="user",
        passwd="passwd",
        db="db_name",
        charset='utf8'
    )
    df = pd.read_sql(sql,conn)
]]></description><category></category></item><item><title><![CDATA[项目图片地址]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/118341294</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/118341294</guid><author>adamlay</author><pubDate>Tue, 29 Jun 2021 18:26:16 +0800</pubDate><description><![CDATA[6.27-电信用户流失预测模型

]]></description><category></category></item><item><title><![CDATA[统计学常用库]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/118325434</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/118325434</guid><author>adamlay</author><pubDate>Tue, 29 Jun 2021 09:36:13 +0800</pubDate><description><![CDATA[统计学常用库1. Scipy1.1 Scipy.stats常见分布常用函数
1. Scipy
Scipy是一个用于数学、科学、工程领域的常用软件包，可以处理插值、积分、优化、图像处理、常微分方程数值解的求解、信号处理等问题。




模块名
应用领域




scipy.cluster
向量计算/Kmeans


scipy.constants
物理和数学常量


scipy.fftpack
傅立叶变换


scipy.integrate
积分程序


scipy.interpolate
插值


scip]]></description><category></category></item><item><title><![CDATA[常用可视化库]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/118323463</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/118323463</guid><author>adamlay</author><pubDate>Tue, 29 Jun 2021 07:58:35 +0800</pubDate><description><![CDATA[常用可视化库1. Matplotlib1.1 matplotlib库1.1.1 绘图1.1.2 图像、文字设置1.1.3 图像IO1.1.4 Axes轴面设置1.1.5 Figure对象设置1.2 plt.plot()属性设置图像风格和样式1.3 plt.rcParams1.4 常用实参字符标记字符线型字符颜色字符1.5 pie()属性2. Pyecharts2.1 Pyecharts库2.1.1 导入2.1.2 常用图表2.1.3 其他图表2.1.4 图像设置及渲染2.1.5 Pyecharts.Opti]]></description><category></category></item><item><title><![CDATA[机器学习术语]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/118098895</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/118098895</guid><author>adamlay</author><pubDate>Tue, 22 Jun 2021 08:17:07 +0800</pubDate><description><![CDATA[特征提取（特征工程）

旨在去除原始数据中的杂质和冗余，设计更高效的特征以刻画求解问题与预测模型之间的关系。


]]></description><category></category></item><item><title><![CDATA[Python机器学习基础教程]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/118047038</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/118047038</guid><author>adamlay</author><pubDate>Sat, 19 Jun 2021 11:54:54 +0800</pubDate><description><![CDATA[Python机器学习基础教程1. 引言1.1 机器学习能够解决的问题1.3 scikit-learn1.4 必要的库和工具1.4.3 Scipy1.4.4 matplotlib1.4.6 mglearn1.7 第一个应用：鸢尾花分类1.7.1 初识数据1.7.2 衡量模型是否成功：训练数据与测试数据1.7.3　要事第一：观察数据1.7.4　构建第一个模型：k近邻算法1.7.5 做出预测1.7.6 评估模型2. 监督学习
1. 引言
监督学习（supervised learning）的方法中，用户将成对的输入]]></description><category></category></item><item><title><![CDATA[BI面试题]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/117999442</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/117999442</guid><author>adamlay</author><pubDate>Thu, 17 Jun 2021 18:34:31 +0800</pubDate><description><![CDATA[tableau有哪些产品
桌面分析工具——tableau desktop
数据清洗工具——tableau prep
分析发布用的——tableau server/online
个人试用的精简版数据分析工具——tableau public
tableau连接数据有哪两种方式
实时：直接从数据源实时查询获取数据信息，Tableau不对源数据进行存储。
数据提取：将数据源的数据保存到本地计算机，大幅缩短Tableau查询载入源数据的时间。
tableau文件的保存方式
.twb ——工作簿未打包数据本身
.twb]]></description><category></category></item><item><title><![CDATA[Scrapy框架 & XPath]]></title><link>https://blog.youkuaiyun.com/adamlay/article/details/117992616</link><guid>https://blog.youkuaiyun.com/adamlay/article/details/117992616</guid><author>adamlay</author><pubDate>Thu, 17 Jun 2021 16:58:35 +0800</pubDate><description><![CDATA[Scrapy Shell




指令
功能




scrapy shell -s USER_AGENT=“Mozilla/5.0” URL地址
基本URL请求


scrapy shell --pdb  URL地址
交互式调试


scrapy startproject 项目名称
创建Scrapy项目


Ctrl+D
退出Scrapy Shell


Response




指令
功能




response.body
响应体内容


response.xpath(xpath路径)
根据xpath]]></description><category></category></item></channel></rss>