Decision Trees Library

Decision Trees are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features.

The Scikit-Learn Machine Learning in Python is a useful library for decision trees.

See: http://bit.ly/1nBKWDc