From 47761c11aa0f743c1c4c0b2f714cfa4f28de8fa9 Mon Sep 17 00:00:00 2001 From: "Carlos A. Iglesias" Date: Thu, 5 Mar 2020 17:19:56 +0100 Subject: [PATCH] errata en algoritmos --- ml1/2_1_Intro_ScikitLearn.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ml1/2_1_Intro_ScikitLearn.ipynb b/ml1/2_1_Intro_ScikitLearn.ipynb index c04cd58..6116f6c 100644 --- a/ml1/2_1_Intro_ScikitLearn.ipynb +++ b/ml1/2_1_Intro_ScikitLearn.ipynb @@ -87,7 +87,7 @@ "metadata": {}, "source": [ "Scikit-learn provides algorithms for solving the following problems:\n", - "* **Classification**: Identifying to which category an object belongs to. Some of the available [classification algorithms](http://scikit-learn.org/stable/supervised_learning.html#supervised-learning) are decision trees (ID3, kNN, ...), SVM, Random forest, Perceptron, etc. \n", + "* **Classification**: Identifying to which category an object belongs to. Some of the available [classification algorithms](http://scikit-learn.org/stable/supervised_learning.html#supervised-learning) are decision trees (ID3, C4.5, ...), kNN, SVM, Random forest, Perceptron, etc. \n", "* **Clustering**: Automatic grouping of similar objects into sets. Some of the available [clustering algorithms](http://scikit-learn.org/stable/modules/clustering.html#clustering) are k-Means, Affinity propagation, etc.\n", "* **Regression**: Predicting a continuous-valued attribute associated with an object. Some of the available [regression algorithms](http://scikit-learn.org/stable/supervised_learning.html#supervised-learning) are linear regression, logistic regression, etc.\n", "* ** Dimensionality reduction**: Reducing the number of random variables to consider. Some of the available [dimensionality reduction algorithms](http://scikit-learn.org/stable/modules/decomposition.html#decompositions) are SVD, PCA, etc."