This repository contains the results of my work in the Young Scientist Program in which I researched 2 things:
- How effective are certain machine learning algorithms in predicting whether a given exoplanet is habitable
- Can machine learning be used to predict which features are most important in predicting whether or not a planet is habitable
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