Gravitational Waves Detection -- Kaggle Competition -- Keras Modelling -- Part-2

In the first part of this Blog series on Kaggle Competition for G2Net Gravitational Wave Detection I discussed the introduction on Gravitational waves, fundamentals of digital signal processing. In this part-2, I will be doing simple EDA on this dataset and building a baseline ConvNet Model with Keras. In this competition, you 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).