P-31 LIGO Classification with Machine Learning

Due to the popularity of probabilistic approaches to solving classification problems in interdisciplinary research environments, I propose to work on classifying LIGO data using a machine learning classification approach. I will be able to use training and testing datasets to classify whether the data contains gravitational wave signals, which will help the physicists at LIGO perform and analyze their experiments.