├── 01.安装Python及爬虫入门介绍.pdf ├── 02.Kmeans聚类数据分析及Anaconda介绍.pdf ├── 03.Kmeans聚类代码实现、作业及优化.pdf ├── 04.决策树DTC数据分析及鸢尾数据集分析.pdf ├── 05.线性回归知识及预测糖尿病实例.pdf ├── 06.Numpy、Pandas和Matplotlib包基础知识.pdf ├── 07.PCA降维操作及subplot子图绘制.pdf ├── 08.关联规则挖掘及Apriori实现购物推荐.pdf ├── 09.回归模型LinearRegression简单分析氧化物数据.pdf ├── 10.Pandas、Matplotlib、PCA绘图实用代码补充.pdf ├── 11.Pandas、Matplotlib结合SQL语句可视化分析.pdf ├── 12.Pandas、Matplotlib结合SQL语句对比图分析.pdf ├── 13.WordCloud词云配置过程及词频分析.pdf ├── 14.Scipy调用curve_fit实现曲线拟合.pdf ├── 15.Matplotlib调用imshow()函数绘制热图.pdf ├── 16.逻辑回归LogisticRegression分析鸢尾花数据.pdf ├── 17.社交网络Networkx库分析人物关系（初识篇）.pdf ├── 18.线性回归及多项式回归分析四个案例分享.pdf ├── 19.鸢尾花数据集可视化、线性回归、决策树花样分析.pdf ├── 20.KNN最近邻分类算法分析详解及平衡秤TXT数据集读取.pdf ├── 21.朴素贝叶斯分类器详解及中文文本舆情分析.pdf ├── 22.Basemap地图包安装入门及基础知识讲解.pdf ├── 23.时间序列金融数据预测及Pandas库详解.pdf ├── 24.KMeans文本聚类分析互动百科语料.pdf ├── 25.Matplotlib绘制带主题及聚类类标的散点图.pdf ├── 26.基于SnowNLP的豆瓣评论情感分析.pdf ├── 27.基于SVM分类器的红酒数据分析.pdf ├── 28.基于LDA和pyLDAvis的主题挖掘及可视化.pdf ├── 29.数据预处理之字符型转换数值型、标准化、归一化处理.pdf └── README.md /01.安装Python及爬虫入门介绍.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/01.安装Python及爬虫入门介绍.pdf -------------------------------------------------------------------------------- /02.Kmeans聚类数据分析及Anaconda介绍.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/02.Kmeans聚类数据分析及Anaconda介绍.pdf -------------------------------------------------------------------------------- /03.Kmeans聚类代码实现、作业及优化.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/03.Kmeans聚类代码实现、作业及优化.pdf -------------------------------------------------------------------------------- /04.决策树DTC数据分析及鸢尾数据集分析.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/04.决策树DTC数据分析及鸢尾数据集分析.pdf -------------------------------------------------------------------------------- /05.线性回归知识及预测糖尿病实例.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/05.线性回归知识及预测糖尿病实例.pdf -------------------------------------------------------------------------------- /06.Numpy、Pandas和Matplotlib包基础知识.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/06.Numpy、Pandas和Matplotlib包基础知识.pdf -------------------------------------------------------------------------------- /07.PCA降维操作及subplot子图绘制.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/07.PCA降维操作及subplot子图绘制.pdf -------------------------------------------------------------------------------- /08.关联规则挖掘及Apriori实现购物推荐.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/08.关联规则挖掘及Apriori实现购物推荐.pdf -------------------------------------------------------------------------------- /09.回归模型LinearRegression简单分析氧化物数据.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/09.回归模型LinearRegression简单分析氧化物数据.pdf -------------------------------------------------------------------------------- /10.Pandas、Matplotlib、PCA绘图实用代码补充.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/10.Pandas、Matplotlib、PCA绘图实用代码补充.pdf -------------------------------------------------------------------------------- /11.Pandas、Matplotlib结合SQL语句可视化分析.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/11.Pandas、Matplotlib结合SQL语句可视化分析.pdf -------------------------------------------------------------------------------- /12.Pandas、Matplotlib结合SQL语句对比图分析.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/12.Pandas、Matplotlib结合SQL语句对比图分析.pdf -------------------------------------------------------------------------------- /13.WordCloud词云配置过程及词频分析.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/13.WordCloud词云配置过程及词频分析.pdf -------------------------------------------------------------------------------- /14.Scipy调用curve_fit实现曲线拟合.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/14.Scipy调用curve_fit实现曲线拟合.pdf -------------------------------------------------------------------------------- /15.Matplotlib调用imshow()函数绘制热图.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/15.Matplotlib调用imshow()函数绘制热图.pdf -------------------------------------------------------------------------------- /16.逻辑回归LogisticRegression分析鸢尾花数据.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/16.逻辑回归LogisticRegression分析鸢尾花数据.pdf -------------------------------------------------------------------------------- /17.社交网络Networkx库分析人物关系（初识篇）.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/17.社交网络Networkx库分析人物关系（初识篇）.pdf -------------------------------------------------------------------------------- /18.线性回归及多项式回归分析四个案例分享.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/18.线性回归及多项式回归分析四个案例分享.pdf -------------------------------------------------------------------------------- /19.鸢尾花数据集可视化、线性回归、决策树花样分析.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/19.鸢尾花数据集可视化、线性回归、决策树花样分析.pdf -------------------------------------------------------------------------------- /20.KNN最近邻分类算法分析详解及平衡秤TXT数据集读取.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/20.KNN最近邻分类算法分析详解及平衡秤TXT数据集读取.pdf -------------------------------------------------------------------------------- /21.朴素贝叶斯分类器详解及中文文本舆情分析.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/21.朴素贝叶斯分类器详解及中文文本舆情分析.pdf -------------------------------------------------------------------------------- /22.Basemap地图包安装入门及基础知识讲解.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/22.Basemap地图包安装入门及基础知识讲解.pdf -------------------------------------------------------------------------------- /23.时间序列金融数据预测及Pandas库详解.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/23.时间序列金融数据预测及Pandas库详解.pdf -------------------------------------------------------------------------------- /24.KMeans文本聚类分析互动百科语料.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/24.KMeans文本聚类分析互动百科语料.pdf -------------------------------------------------------------------------------- /25.Matplotlib绘制带主题及聚类类标的散点图.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/25.Matplotlib绘制带主题及聚类类标的散点图.pdf -------------------------------------------------------------------------------- /26.基于SnowNLP的豆瓣评论情感分析.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/26.基于SnowNLP的豆瓣评论情感分析.pdf -------------------------------------------------------------------------------- /27.基于SVM分类器的红酒数据分析.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/27.基于SVM分类器的红酒数据分析.pdf -------------------------------------------------------------------------------- /28.基于LDA和pyLDAvis的主题挖掘及可视化.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/28.基于LDA和pyLDAvis的主题挖掘及可视化.pdf -------------------------------------------------------------------------------- /29.数据预处理之字符型转换数值型、标准化、归一化处理.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/eastmountyxz/CSDNBlog-Python-DataMining-Course/c1841695793186dba558b13999e601613399bff0/29.数据预处理之字符型转换数值型、标准化、归一化处理.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # CSDNBlog-Python-DataMining-Course 2 | 为了更好地管理博客文章，分享更好的知识，该系列资源为作者CSDN博客的备份文件。本资源为作者Python数据挖掘课程系列，主要是作者《数据挖掘》、《大数据分析及技术》等课程分享的内容，涉及Python基础知识、网络爬虫、聚类、分类、回归、情感分析、可视化分析等知识，基础性文章，希望对您有所帮助。 3 | 4 | 5 | 实验部分源代码如下：
6 | [https://github.com/eastmountyxz/Python-for-Data-Mining](https://github.com/eastmountyxz/Python-for-Data-Mining) 7 | 8 | 文章目录：
9 | [【Python数据挖掘课程】一.安装Python及爬虫入门介绍](https://blog.csdn.net/eastmount/article/details/52577215)
10 | [【Python数据挖掘课程】二.Kmeans聚类数据分析及Anaconda介绍](https://blog.csdn.net/eastmount/article/details/52777308)
11 | [【Python数据挖掘课程】三.Kmeans聚类代码实现、作业及优化](https://blog.csdn.net/eastmount/article/details/52793549)
12 | [【Python数据挖掘课程】四.决策树DTC数据分析及鸢尾数据集分析](https://blog.csdn.net/eastmount/article/details/52820400)
13 | [【Python数据挖掘课程】五.线性回归知识及预测糖尿病实例](https://blog.csdn.net/eastmount/article/details/52929765)
14 | [【Python数据挖掘课程】六.Numpy、Pandas和Matplotlib包基础知识](https://blog.csdn.net/eastmount/article/details/53144633)
15 | [【Python数据挖掘课程】七.PCA降维操作及subplot子图绘制](https://blog.csdn.net/eastmount/article/details/53285192)
16 | [【Python数据挖掘课程】八.关联规则挖掘及Apriori实现购物推荐](https://blog.csdn.net/eastmount/article/details/53368440)
17 | [【Python数据挖掘课程】九.回归模型LinearRegression简单分析氧化物数据](https://blog.csdn.net/eastmount/article/details/60468818)
18 | [【python数据挖掘课程】十.Pandas、Matplotlib、PCA绘图实用代码补充](https://blog.csdn.net/eastmount/article/details/60675865)
19 | [【python数据挖掘课程】十一.Pandas、Matplotlib结合SQL语句可视化分析](https://blog.csdn.net/eastmount/article/details/62489186)
20 | [【python数据挖掘课程】十二.Pandas、Matplotlib结合SQL语句对比图分析](https://blog.csdn.net/eastmount/article/details/64127445)
21 | [【python数据挖掘课程】十三.WordCloud词云配置过程及词频分析](https://blog.csdn.net/eastmount/article/details/64438407)
22 | [【python数据挖掘课程】十四.Scipy调用curve_fit实现曲线拟合](https://blog.csdn.net/eastmount/article/details/71308373)
23 | [【python数据挖掘课程】十五.Matplotlib调用imshow()函数绘制热图](https://blog.csdn.net/eastmount/article/details/73392106)
24 | [【python数据挖掘课程】十六.逻辑回归LogisticRegression分析鸢尾花数据](https://blog.csdn.net/eastmount/article/details/77920470)
25 | [【python数据挖掘课程】十七.社交网络Networkx库分析人物关系（初识篇）](https://blog.csdn.net/eastmount/article/details/78452581)
26 | [【python数据挖掘课程】十八.线性回归及多项式回归分析四个案例分享](https://blog.csdn.net/eastmount/article/details/78635096)
27 | [【python数据挖掘课程】十九.鸢尾花数据集可视化、线性回归、决策树花样分析](https://blog.csdn.net/eastmount/article/details/78692227)
28 | [【python数据挖掘课程】二十.KNN最近邻分类算法分析详解及平衡秤TXT数据集读取](https://blog.csdn.net/eastmount/article/details/78747128)
29 | [【python数据挖掘课程】二十一.朴素贝叶斯分类器详解及中文文本舆情分析](https://blog.csdn.net/eastmount/article/details/79128235)
30 | [【python数据挖掘课程】二十二.Basemap地图包安装入门及基础知识讲解](https://blog.csdn.net/eastmount/article/details/79188415)
31 | [【python数据挖掘课程】二十三.时间序列金融数据预测及Pandas库详解](https://blog.csdn.net/eastmount/article/details/79188415)
32 | [【python数据挖掘课程】二十四.KMeans文本聚类分析互动百科语料](https://blog.csdn.net/eastmount/article/details/80935427)
33 | [【python数据挖掘课程】二十五.Matplotlib绘制带主题及聚类类标的散点图](https://blog.csdn.net/Eastmount/article/details/81106487)
34 | [【python数据挖掘课程】二十六.基于SnowNLP的豆瓣评论情感分析](https://blog.csdn.net/Eastmount/article/details/85118818)
35 | [【python数据挖掘课程】二十七.基于SVM分类器的红酒数据分析](https://blog.csdn.net/Eastmount/article/details/86512901)
36 | [【python数据挖掘课程】二十八.基于LDA和pyLDAvis的主题挖掘及可视化分析](https://blog.csdn.net/Eastmount/article/details/91380607)
37 | 38 | 39 | 效果图包括：
40 | 41 | 42 | --------------------------------------------------------------------------------