Earthquake prognosis using machine learning

Abstract

One of the deadliest and riskiest natural disasters is an earthquake. They often occur without a warning or any further alert. Therefore there was a need for its prognosis as it is extremely important for mankind as well as the environment. In this project, the successful application of machine learning techniques have been used for different elements of research which would be possible to use to make a more accurate short-term prognosis of upcoming earthquakes. Random Forest Classifier is the algorithm used for the research.