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Added scikit-learn pca notebook.

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Donne Martin 2015-05-31 10:06:35 -04:00
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README.md
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@ -100,7 +100,7 @@ Credits: Forked from [PyCon 2015 Scikit-learn Tutorial](https://github.com/jakev
| [scikit-learn-svm](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-svm.ipynb) | Support vector machine classifier, with and without kernels. |
| [scikit-learn-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. |
| [scikit-learn-k-means](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-k-means.ipynb) | K-Means Clustering. |
| [scikit-learn-pca](#scikit-learn) | Coming Soon. |
| [scikit-learn-pca](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-pca.ipynb) | Principal Component Analysis. |
| [scikit-learn-validation](#scikit-learn) | Coming Soon. |
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scikit-learn/scikit-learn-pca.ipynb Normal file
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