Machine Learning driven Classification of Asteroids
THE CHALLENGE: Near Earth Objects Machine Learning
Solar System
For this challenge, we invite you to become "virtual contributors" to the Asteroid Grand Challenge and develop a hypothetical method, concept note or simple prototype that demonstrates how Machine Learning could be used to help us avoid the same fate as the dinosaurs.
Explanation
An exploration of various supervised classification models to determine Potentially Hazardous Asteroid (PHA), Near Earth Asteroid (NEA), or Known Astroid (KA) labels --- harnessing the Minor Planet Center's greater repository.
Resources Used
- Minor Planet Center Data (http://www.minorplanetcenter.net/data)
- Python Programming Language
- Python Libraries NumPy, SciPy, Scikit-Learn, Pandas.
