This jupyter notebook demonstrates an application of decision trees and random forests for generating predictions of exam scores and making recommendations for further investigation. Developed in using Anaconda for dependency management. This project was completed for CS 167: Machine Learning at Drake University with Professor Urness, Spring 2020.
Install the following modules into your environment before running:
-Python 3 -scikit-learn -matplotlib -pandas -graphviz