6.867 Project
- Youssef Berrada: [email protected]
- Georgy Guryev: [email protected]
- Sheng Yao: [email protected]
In this project, we design, test, validate and implement different classification algorithms as part of the Photometric LSST Astronomical Time-Series Classification Challenge. Specifically, we implement a recurrent neural network, a gradient boosting tree and an optimal decision tree algorithm to compare these methodologies and ultimately combine them into an ensemble method to generate better results.