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Title: GitHub - Swidasya/PythonDataMining: :notebook_with_decorative_cover: 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》 · GitHub

Open Graph Title: GitHub - Swidasya/PythonDataMining: :notebook_with_decorative_cover: 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》

X Title: GitHub - Swidasya/PythonDataMining: :notebook_with_decorative_cover: 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》

Description: :notebook_with_decorative_cover: 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》 - GitHub - Swidasya/PythonDataMining: :notebook_with_decorative_cover: 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》

Open Graph Description: :notebook_with_decorative_cover: 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》 - Swidasya/PythonDataMining

X Description: :notebook_with_decorative_cover: 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》 - Swidasya/PythonDataMining

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0.数据挖掘流程简单示例10min.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/0.%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98%E6%B5%81%E7%A8%8B%E7%AE%80%E5%8D%95%E7%A4%BA%E4%BE%8B10min.ipynb
0.数据挖掘流程简单示例10min.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/0.%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98%E6%B5%81%E7%A8%8B%E7%AE%80%E5%8D%95%E7%A4%BA%E4%BE%8B10min.ipynb
1.近邻算法分类.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/1.%E8%BF%91%E9%82%BB%E7%AE%97%E6%B3%95%E5%88%86%E7%B1%BB.ipynb
1.近邻算法分类.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/1.%E8%BF%91%E9%82%BB%E7%AE%97%E6%B3%95%E5%88%86%E7%B1%BB.ipynb
10.用深度学习进行图象分类.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/10.%E7%94%A8%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E8%BF%9B%E8%A1%8C%E5%9B%BE%E8%B1%A1%E5%88%86%E7%B1%BB.ipynb
10.用深度学习进行图象分类.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/10.%E7%94%A8%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E8%BF%9B%E8%A1%8C%E5%9B%BE%E8%B1%A1%E5%88%86%E7%B1%BB.ipynb
11.大数据处理.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/11.%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%A4%84%E7%90%86.ipynb
11.大数据处理.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/11.%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%A4%84%E7%90%86.ipynb
2.决策树预测获胜球队.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/2.%E5%86%B3%E7%AD%96%E6%A0%91%E9%A2%84%E6%B5%8B%E8%8E%B7%E8%83%9C%E7%90%83%E9%98%9F.ipynb
2.决策树预测获胜球队.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/2.%E5%86%B3%E7%AD%96%E6%A0%91%E9%A2%84%E6%B5%8B%E8%8E%B7%E8%83%9C%E7%90%83%E9%98%9F.ipynb
3.亲和性分析推荐电影.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/3.%E4%BA%B2%E5%92%8C%E6%80%A7%E5%88%86%E6%9E%90%E6%8E%A8%E8%8D%90%E7%94%B5%E5%BD%B1.ipynb
3.亲和性分析推荐电影.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/3.%E4%BA%B2%E5%92%8C%E6%80%A7%E5%88%86%E6%9E%90%E6%8E%A8%E8%8D%90%E7%94%B5%E5%BD%B1.ipynb
4.用转换器抽取特征.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/4.%E7%94%A8%E8%BD%AC%E6%8D%A2%E5%99%A8%E6%8A%BD%E5%8F%96%E7%89%B9%E5%BE%81.ipynb
4.用转换器抽取特征.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/4.%E7%94%A8%E8%BD%AC%E6%8D%A2%E5%99%A8%E6%8A%BD%E5%8F%96%E7%89%B9%E5%BE%81.ipynb
5.朴素贝叶斯进行社会媒体挖掘.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/5.%E6%9C%B4%E7%B4%A0%E8%B4%9D%E5%8F%B6%E6%96%AF%E8%BF%9B%E8%A1%8C%E7%A4%BE%E4%BC%9A%E5%AA%92%E4%BD%93%E6%8C%96%E6%8E%98.ipynb
5.朴素贝叶斯进行社会媒体挖掘.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/5.%E6%9C%B4%E7%B4%A0%E8%B4%9D%E5%8F%B6%E6%96%AF%E8%BF%9B%E8%A1%8C%E7%A4%BE%E4%BC%9A%E5%AA%92%E4%BD%93%E6%8C%96%E6%8E%98.ipynb
6.用图挖掘找到感兴趣的人.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/6.%E7%94%A8%E5%9B%BE%E6%8C%96%E6%8E%98%E6%89%BE%E5%88%B0%E6%84%9F%E5%85%B4%E8%B6%A3%E7%9A%84%E4%BA%BA.ipynb
6.用图挖掘找到感兴趣的人.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/6.%E7%94%A8%E5%9B%BE%E6%8C%96%E6%8E%98%E6%89%BE%E5%88%B0%E6%84%9F%E5%85%B4%E8%B6%A3%E7%9A%84%E4%BA%BA.ipynb
7.用神经网络破解验证码.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/7.%E7%94%A8%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%A0%B4%E8%A7%A3%E9%AA%8C%E8%AF%81%E7%A0%81.ipynb
7.用神经网络破解验证码.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/7.%E7%94%A8%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%A0%B4%E8%A7%A3%E9%AA%8C%E8%AF%81%E7%A0%81.ipynb
8.作者归属问题.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/8.%E4%BD%9C%E8%80%85%E5%BD%92%E5%B1%9E%E9%97%AE%E9%A2%98.ipynb
8.作者归属问题.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/8.%E4%BD%9C%E8%80%85%E5%BD%92%E5%B1%9E%E9%97%AE%E9%A2%98.ipynb
9.新闻语料分类.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/9.%E6%96%B0%E9%97%BB%E8%AF%AD%E6%96%99%E5%88%86%E7%B1%BB.ipynb
9.新闻语料分类.ipynb	https://github.com/Swidasya/PythonDataMining/blob/master/9.%E6%96%B0%E9%97%BB%E8%AF%AD%E6%96%99%E5%88%86%E7%B1%BB.ipynb
Python数据挖掘入门与实践.pdf	https://github.com/Swidasya/PythonDataMining/blob/master/Python%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98%E5%85%A5%E9%97%A8%E4%B8%8E%E5%AE%9E%E8%B7%B5.pdf
Python数据挖掘入门与实践.pdf	https://github.com/Swidasya/PythonDataMining/blob/master/Python%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98%E5%85%A5%E9%97%A8%E4%B8%8E%E5%AE%9E%E8%B7%B5.pdf
Python数据挖掘入门与实践_彩图.pdf	https://github.com/Swidasya/PythonDataMining/blob/master/Python%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98%E5%85%A5%E9%97%A8%E4%B8%8E%E5%AE%9E%E8%B7%B5_%E5%BD%A9%E5%9B%BE.pdf
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README.md	https://github.com/Swidasya/PythonDataMining/blob/master/README.md
README.md	https://github.com/Swidasya/PythonDataMining/blob/master/README.md
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	https://github.com/Swidasya/PythonDataMining#pythondatamining
	https://app.fossa.io/projects/git%2Bgithub.com%2FLinXueyuanStdio%2FPythonDataMining?ref=badge_shield
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黑白图版	https://github.com/LinXueyuanStdio/PythonDataMining/blob/master/Python%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98%E5%85%A5%E9%97%A8%E4%B8%8E%E5%AE%9E%E8%B7%B5.pdf
彩图版	https://github.com/LinXueyuanStdio/PythonDataMining/blob/master/Python%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98%E5%85%A5%E9%97%A8%E4%B8%8E%E5%AE%9E%E8%B7%B5_%E5%BD%A9%E5%9B%BE.pdf
笔记notes	https://github.com/LinXueyuanStdio/notes
	https://github.com/Swidasya/PythonDataMining#笔记目录
数据挖掘流程简单示例10min.ipynb	http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/0.%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98%E6%B5%81%E7%A8%8B%E7%AE%80%E5%8D%95%E7%A4%BA%E4%BE%8B10min.ipynb
用近邻算法分类.ipynb	http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/1.%E8%BF%91%E9%82%BB%E7%AE%97%E6%B3%95%E5%88%86%E7%B1%BB.ipynb
用决策树预测获胜球队.ipynb	http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/2.%E5%86%B3%E7%AD%96%E6%A0%91%E9%A2%84%E6%B5%8B%E8%8E%B7%E8%83%9C%E7%90%83%E9%98%9F.ipynb
用亲和性分析推荐电影.ipynb	http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/3.%E4%BA%B2%E5%92%8C%E6%80%A7%E5%88%86%E6%9E%90%E6%8E%A8%E8%8D%90%E7%94%B5%E5%BD%B1.ipynb
用转换器抽取特征.ipynb	http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/4.%E7%94%A8%E8%BD%AC%E6%8D%A2%E5%99%A8%E6%8A%BD%E5%8F%96%E7%89%B9%E5%BE%81.ipynb
用朴素贝叶斯进行社会媒体挖掘.ipynb	http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/5.%E6%9C%B4%E7%B4%A0%E8%B4%9D%E5%8F%B6%E6%96%AF%E8%BF%9B%E8%A1%8C%E7%A4%BE%E4%BC%9A%E5%AA%92%E4%BD%93%E6%8C%96%E6%8E%98.ipynb
用图挖掘找到感兴趣的人.ipynb	http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/6.%E7%94%A8%E5%9B%BE%E6%8C%96%E6%8E%98%E6%89%BE%E5%88%B0%E6%84%9F%E5%85%B4%E8%B6%A3%E7%9A%84%E4%BA%BA.ipynb
用神经网络破解验证码.ipynb	http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/7.%E7%94%A8%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%A0%B4%E8%A7%A3%E9%AA%8C%E8%AF%81%E7%A0%81.ipynb
作者归属问题.ipynb	http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/8.%E4%BD%9C%E8%80%85%E5%BD%92%E5%B1%9E%E9%97%AE%E9%A2%98.ipynb
新闻语料分类.ipynb	http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/9.%E6%96%B0%E9%97%BB%E8%AF%AD%E6%96%99%E5%88%86%E7%B1%BB.ipynb
用深度学习进行图象分类.ipynb	http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/10.%E7%94%A8%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E8%BF%9B%E8%A1%8C%E5%9B%BE%E8%B1%A1%E5%88%86%E7%B1%BB.ipynb
大数据处理.ipynb	http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/11.%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%A4%84%E7%90%86.ipynb
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