# 2015lab7 **Repository Path**: z2007c/2015lab7 ## Basic Information - **Project Name**: 2015lab7 - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2019-02-02 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # CS-109: Fall 2015 -- Lab 7 ## Decision Trees, Random Forests, Ensemble Methods *** This is a very quick run-through of some basic nonparametric (the old kind) prediction methods * Decision Trees * Random Forests * Ensemble Methods For more reading, check out An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (available through [Springer](http://www-bcf.usc.edu/~gareth/ISL/), as well as the scikit-learn [documentation](http://scikit-learn.org/stable/modules/tree.html).