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Fix broken headings in Markdown files #1

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8 changes: 4 additions & 4 deletions README.md
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该项目仓库使用IPython Notebook方式介绍了Python的科学计算库NumPy、SciPy、Matplotlib和机器学习库Scikit-learn的使用入门。
所有内容系平时看书笔记和日常学习实验，希望对读者有帮助作用。

##NumPy入门部分
## NumPy入门部分
* [NumPy数组基本操作——创建、索引、分片、改变维度](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/NumPy/%281%29numpy_array_basis1.ipynb)
* [NumPy数组基本操作——组合、分割、属性、转换](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/NumPy/%282%29numpy_array_basis2.ipynb)
* [NumPy常用函数——计算均值、最大最小值、中位数、方差](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/NumPy/%283%29common_functions1.ipynb)
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* [NumPy的排序与搜索](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/NumPy/%289%29sort_and_search.ipynb)
* [NumPy断言函数](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/NumPy/%2810%29assert_function.ipynb)

##Matplotlib绘图入门部分
## Matplotlib绘图入门部分
* [绘图基础——绘制百度全年股价K线图、直方图、散点图、着色、图例](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/Visualization/%281%29plot_base.ipynb)
* [有趣绘图——动画、三维绘图、等高线图](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/Visualization/%282%29interesting_plot.ipynb)
* [特殊曲线——利萨如曲线、方波、锯齿波](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/Visualization/%283%29special_curves_plot.ipynb)
* []()

##Scikit-learn机器学习库入门部分
## Scikit-learn机器学习库入门部分
* [从iris数据集入门scikit-learn——介绍使用KNN方法和sklearn进行模型训练预测的一般流程](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/Scikit-learn/%281%29getting_started_with_iris.ipynb)
* [介绍scikit-learn中如何进行模型参数的选择](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/Scikit-learn/%282%29choose_a_ml_model.ipynb)
* [介绍使用scikit-learn线性回归模型进行回归问题预测和特征的选择](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/Scikit-learn/%283%29linear_regression.ipynb)
* [介绍交叉验证及其用于参数选择、模型选择、特征选择的例子](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/Scikit-learn/%284%29cross_validation.ipynb)
* [介绍网格搜索来进行高效的参数调优](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/Scikit-learn/%285%29grid_search.ipynb)
* [介绍评估分类器性能的度量，像混淆矩阵、ROC、AUC等](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/Scikit-learn/%286%29classification_metrics.ipynb)

##Pandas数据分析处理入门
## Pandas数据分析处理入门
* [Pandas的Series和DataFrame数据结构介绍](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/Pandas/%281%29pandas_introduction.ipynb)
* [Pandas的DataFrame的切片和选择操作](http://nbviewer.ipython.org/github/jasonding1354/pyDataScienceToolkits_Base/blob/master/Pandas/%282%29dataframe_slice_selection.ipynb)