From bc1b656f3b1cf20e223e14063ec2a83956c1e612 Mon Sep 17 00:00:00 2001 From: cif2cif Date: Tue, 15 Mar 2016 16:14:42 +0100 Subject: [PATCH] Corrected intro --- ml1/2_5_2_Decision_Tree_Model.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ml1/2_5_2_Decision_Tree_Model.ipynb b/ml1/2_5_2_Decision_Tree_Model.ipynb index a7b0bb1..4875763 100644 --- a/ml1/2_5_2_Decision_Tree_Model.ipynb +++ b/ml1/2_5_2_Decision_Tree_Model.ipynb @@ -54,7 +54,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The goal of this notebook is to learn how to learn how create a classification object using a [decision tree learning algorithm](https://en.wikipedia.org/wiki/Decision_tree_learning). \n", + "The goal of this notebook is to learn how create a classification object using a [decision tree learning algorithm](https://en.wikipedia.org/wiki/Decision_tree_learning). \n", "\n", "There are a number of well known machine learning algorithms for decision tree learning, such as ID3, C4.5, C5.0 and CART. The scikit-learn uses an optimised version of the [CART (Classification and Regression Trees) algorithm](https://en.wikipedia.org/wiki/Predictive_analytics#Classification_and_regression_trees).\n", "\n",