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Tweak description for SVM to include the use of kernels.

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Donne Martin 2015-04-20 14:16:10 -04:00
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README.md
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@ -75,8 +75,8 @@ IPython Notebook(s) demonstrating scikit-learn functionality.
| Notebook | Description |
|--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [scikit-learn-intro](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/scikit-learn/scikit-learn-intro.ipynb) | Intro notebook to scikit-learn. Scikit-learn adds Python support for large, multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays. |
| [scikit-learn-linear-reg](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/scikit-learn/scikit-learn-linear-reg.ipynb) | Linear regression |
| [scikit-learn-svm](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/scikit-learn/scikit-learn-svm.ipynb) | Support vector machines |
| [scikit-learn-linear-reg](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/scikit-learn/scikit-learn-linear-reg.ipynb) | Linear regression. |
| [scikit-learn-svm](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/scikit-learn/scikit-learn-svm.ipynb) | Support vector machine classifier, with and without kernels. |
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