YSP Exoplanets Project

Goals

This repository contains the results of my work in the Young Scientist Program in which I researched 2 things:

1. How effective are certain machine learning algorithms in predicting whether a given exoplanet is habitable
2. Can machine learning be used to predict which features are most important in predicting whether or not a planet is habitable

Structure of this repo

A documented summary with my code and comments explaining it is availble in the Exoplanets.ipynb jupyter notebook in the top level directory of the repository

The scripts and datasets I used for Goal #1 are in the TrainingModels directory

The scripts and datasets I used for Goal #2 are in the MostImportantFeatures directory