Machine Learning project applying supervised algorithms to SDSS photometric data to classify stars, galaxies, and quasars. It features model comparisons and redshift estimation via regression, offering a fast, cost-effective alternative to expensive spectroscopic analysis in astronomy.
For more details, please refer to the technical presentation: