update README.md

Author: LinXueyuanStdio

《Python数据挖掘入门与实践》/README.md

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 # 说明
 
+[推荐在nbviewer下加速浏览](http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/tree/master/%E3%80%8APython%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%E3%80%8B/)
+
 - `pdf`版的书在当前目录`./`下，分[黑白图版](https://github.com/LinXueyuanStdio/PythonDataMining/blob/master/%E3%80%8APython%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%E3%80%8B/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)和[彩图版](https://github.com/LinXueyuanStdio/PythonDataMining/blob/master/%E3%80%8APython%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%E3%80%8B/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)
   - 体积略大(8.8Mb)，谨慎点击，建议`clone`或`fork`
 
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 # 笔记目录
 
-0. 数据挖掘流程简单示例10min.ipynb
-1. 近邻算法分类.ipynb
-2. 决策树预测获胜球队.ipynb
-3. 亲和性分析推荐电影.ipynb
+0. [数据挖掘流程简单示例10min.ipynb](http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/%E3%80%8APython%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%E3%80%8B/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](http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/%E3%80%8APython%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%E3%80%8B/1.%E8%BF%91%E9%82%BB%E7%AE%97%E6%B3%95%E5%88%86%E7%B1%BB.ipynb)
+2. [决策树预测获胜球队.ipynb](http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/%E3%80%8APython%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%E3%80%8B/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](http://nbviewer.jupyter.org/github/LinXueyuanStdio/PythonDataMining/blob/master/%E3%80%8APython%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%E3%80%8B/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)
+
+# 学习过程中的问题记录
+
+0. [Python Tweepy 翻墙抓取Twitter信息](https://linxueyuanstdio.github.io/2017/10/python-proxy/)
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