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Added scikit-learn validation and model selection notebook.

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Donne Martin 2015-06-04 19:15:53 -04:00
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@ -102,7 +102,7 @@ Credits: Forked from [PyCon 2015 Scikit-learn Tutorial](https://github.com/jakev
| [random-forest](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-random-forest.ipynb) | Random forest classifier and regressor. |
| [k-means](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-k-means.ipynb) | K-means clustering. |
| [pca](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-pca.ipynb) | Principal component analysis. |
| [validation](#scikit-learn) | Coming soon. |
| [validation](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-validation.ipynb) | Validation and model selection. |
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