Implementing Decision Trees From Scratch Using Python 2.7

Decision Trees You can find the iPython Notebook for this post at https://github.com/bryantravissmith/FromScratch/tree/master/SupervisedLearning/DecisionTrees Decision Trees are a non-parametric supervised machine learning algorithm that takes a set of training data and constructs a set of regions in the space of features that is then used to make predictions. These predictions can be continuous values (Decision Tree […]

Implementing Decision Trees From Scratch Using R

Decision Trees You can find the iPython Notebook for this post at https://github.com/bryantravissmith/FromScratch/tree/master/SupervisedLearning/DecisionTrees Decision Trees are a non-parametric supervised machine learning algorithm that takes a set of training data and constructs a set of regions in the space of features that is then used to make predictions. These predictions can be continuous values (Decision Tree […]