Gravitational Waves Detection - Kaggle Competition Part-1

In this competition, we are provided with a training set of time series data containing simulated gravitational wave measurements from a network of 3 gravitational wave interferometers (LIGO Hanford, LIGO Livingston, and Virgo). Each time series contains either detector noise or detector noise plus a simulated gravitational wave signal. The task is to identify when a signal is present in the data (target 1). So we need to use the training data along with the target value to build our model and make predictions on the test IDs in form of probability that the target exists for that ID. So basically data science helping here by building models to filter out these noises from data-streams (which includes both noise frequencies and Gravitational Waves frequencies) so we can single out frequencies for Gravitational-Waves.