From a0b86334911e6f27692c6caf1f7e969973aae49b Mon Sep 17 00:00:00 2001 From: Donne Martin Date: Tue, 21 Apr 2015 07:44:45 -0400 Subject: [PATCH] Added k nearest neighbors. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 8def614..43b0ef0 100644 --- a/README.md +++ b/README.md @@ -75,6 +75,7 @@ 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-knn](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/scikit-learn/scikit-learn-intro.ipynb#K-Nearest-Neighbors-Classifier) | K-Nearest Neighbors. | | [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. |