Submission for Kaggle Competition to classify astronomical objects based on features picked up by the Large Synoptic Survey Telescope (LSST). As part of the Machine Learning course 2018-2019.
To classify astronomical objects based on time-series observations of light sources intercepted by the LSST.
As part of the university course, the assignment also required investigating different models. These included Linear Regression, Random Forests and CNNs.