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Fixed nbviewer links for random sampling and hypothesis testing.

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Donne Martin 2015-07-05 07:23:33 -04:00
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commit c9acca19f7
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README.md
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@ -125,8 +125,8 @@ IPython Notebook(s) demonstrating scikit-learn functionality.
|--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| scipy | SciPy is a collection of mathematical algorithms and convenience functions built on the Numpy extension of Python. It adds significant power to the interactive Python session by providing the user with high-level commands and classes for manipulating and visualizing data. |
| [effect_size](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scipy/effect_size.ipynb) | Effect size. |
| [sampling](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scipy/numpy.ipynb) | Random sampling. |
| [hypothesis](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scipy/numpy.ipynb) | Hypothesis testing. |
| [sampling](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scipy/sampling.ipynb) | Random sampling. |
| [hypothesis](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scipy/hypothesis.ipynb) | Hypothesis testing. |
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