Update README.md

Author: MorvanZhou

sklearnTUT/README.md

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+# Sklearn 学习目录
+<img src='https://github.com/MorvanZhou/tutorials/blob/master/sklearnTUT/sklearn%20cover%20page.jpg?raw=true' height=200>
+
+---
+# 点击标题进入视频教程
+
+1. [Why? ](https://www.youtube.com/watch?v=7wWMP2elSvE&list=PLXO45tsB95cI7ZleLM5i3XXhhe9YmVrRO&index=2)
+  * Scikit-learn 简单介绍
+  * 在这之前, [<什么是机器学习>](https://www.youtube.com/watch?v=YY7-VKXybjc&list=PLXO45tsB95cIFm8Y8vMkNNPPXAtYXwKin&index=1), 这段简短的视频介绍都是很推荐的. 优酷的这段视频在这: [<什么是机器学习>](http://v.youku.com/v_show/id_XMTYyMjk2NDIwOA==.html?f=27892935&o=1).
+  * [优酷链接](http://v.youku.com/v_show/id_XMTYxMjg1NjQ4MA==.html?f=27469882&o=1)
+
+2. [安装](https://www.youtube.com/watch?v=FG3W1_8ogBE&index=3&list=PLXO45tsB95cI7ZleLM5i3XXhhe9YmVrRO)
+  * 介绍如何安装
+  * [优酷链接](http://v.youku.com/v_show/id_XMTYxMjg5MTYyOA==.html?f=27469882&o=1)
+
+
+3. [如何选择机器学习方法](https://www.youtube.com/watch?v=GB8SNR-cT7w&index=4&list=PLXO45tsB95cI7ZleLM5i3XXhhe9YmVrRO)
+  * 机器学习的方法有很多, 我们如何[通过比较](http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html)来选择适合的机器学习方法呢.
+  * [优酷链接](http://v.youku.com/v_show/id_XMTYxMjk0MzY3Ng==.html?f=27469882&o=1)
+<img src='http://scikit-learn.org/stable/_static/ml_map.png' height=250>
+
+4. [通用学习模式](https://www.youtube.com/watch?v=EvV99YhSsJU&list=PLXO45tsB95cI7ZleLM5i3XXhhe9YmVrRO&index=5)
+  * Sklearn 是一个高度统一的模块, 所有的学习方法都有类似的学习语句. 知一懂百. ([代码](https://github.com/MorvanZhou/tutorials/blob/master/sklearnTUT/sk4_learning_pattern.py))
+  * [优酷链接](http://v.youku.com/v_show/id_XMTYxMzg0NzE5Mg==.html?f=27469882&o=1)
+
+
+5. [sklearn 的数据库](https://www.youtube.com/watch?v=lXznUoPCJLM&list=PLXO45tsB95cI7ZleLM5i3XXhhe9YmVrRO&index=6)
+  * sklearn 提供了很多[数据](http://scikit-learn.org/stable/modules/classes.html#module-sklearn.datasets)供你练习. ([代码](https://github.com/MorvanZhou/tutorials/blob/master/sklearnTUT/sk5_datasets.py))
+  * [优酷链接](http://v.youku.com/v_show/id_XMTYxNjU0NzU1Mg==.html?f=27469882&o=1)
+
+
+6. [model 的常用功能和属性](https://www.youtube.com/watch?v=d2BMirIToF4&list=PLXO45tsB95cI7ZleLM5i3XXhhe9YmVrRO&index=7)
+  * 每一种 model 都有自己的功能和属性, 而且这种功能属性也是高度统一的. ([代码](https://github.com/MorvanZhou/tutorials/blob/master/sklearnTUT/sk6_model_attribute_method.py))
+  * [优酷链接](http://v.youku.com/v_show/id_XMTYxNjU3MTQzMg==.html?f=27469882&o=1)
+
+
+7. [Normalization 数据标准化](https://www.youtube.com/watch?v=3GxT8n0ShsU&list=PLXO45tsB95cI7ZleLM5i3XXhhe9YmVrRO&index=8)
+  * 请参考<机器学习-简介系列>中的[数据标准化4分钟介绍](https://www.youtube.com/watch?v=1YpKUpitT98&list=PLXO45tsB95cIFm8Y8vMkNNPPXAtYXwKin&index=7). 优酷的[数据便遵化视频在这](http://v.youku.com/v_show/id_XMTY5MjU1MTg0NA==.html?f=27892935&o=1) ([代码](https://github.com/MorvanZhou/tutorials/blob/master/sklearnTUT/sk7_normalization.py))
+  * [优酷链接](http://v.youku.com/v_show/id_XMTYxNjgwNjkxNg==.html?f=27469882&o=1)
+
+
+8. [Cross Validation 交叉验证1](https://www.youtube.com/watch?v=UeyZX31VZE8&list=PLXO45tsB95cI7ZleLM5i3XXhhe9YmVrRO&index=9)
+  * 请参考<机器学习-简介系列>中的[如何检验机器学习](https://www.youtube.com/watch?v=vBJ_XbRnzKE&index=6&list=PLXO45tsB95cIFm8Y8vMkNNPPXAtYXwKin). 优酷的[检验机器学习在这](http://v.youku.com/v_show/id_XMTY5MTk1NzIzMg==.html?f=27892935&o=1). ([代码](https://github.com/MorvanZhou/tutorials/tree/master/sklearnTUT/sk8_cross_validation))
+  * [优酷链接](http://v.youku.com/v_show/id_XMTYxNzcwOTc1Ng==.html?f=27469882&o=1)
+
+
+9. [Cross Validation 交叉验证2](https://www.youtube.com/watch?v=VsLYdjiG5KQ&list=PLXO45tsB95cI7ZleLM5i3XXhhe9YmVrRO&index=10)
+  * 介绍learning curve 和他的使用方法. ([代码](https://github.com/MorvanZhou/tutorials/blob/master/sklearnTUT/sk9_cross_validation2.py))
+  * [优酷链接](http://v.youku.com/v_show/id_XMTYxNzgxODQzMg==.html?f=27469882&o=1)
+
+
+10. [Cross Validation 交叉验证3](https://www.youtube.com/watch?v=nRVKdxfRFtA&list=PLXO45tsB95cI7ZleLM5i3XXhhe9YmVrRO&index=11)
+  * 介绍 validation curve 和他的使用方法 ([代码](https://github.com/MorvanZhou/tutorials/blob/master/sklearnTUT/sk10_cross_validation3.py))
+  * [优酷链接](http://v.youku.com/v_show/id_XMTYxODA2Mzk0OA==.html?f=27469882&o=1)
+
+
+11. [Save 保存](https://www.youtube.com/watch?v=8sMZkhWtdaI&index=12&list=PLXO45tsB95cI7ZleLM5i3XXhhe9YmVrRO)
+  * 保存学好的 model. ([代码](https://github.com/MorvanZhou/tutorials/blob/master/sklearnTUT/sk11_save.py))
+  * [优酷链接](http://v.youku.com/v_show/id_XMTYyOTkwNzA2OA==.html?f=27469882&o=1)
+