Final class project for Modeling II: Machine Learning at USF, a graduate course in the Data Science program.
We set out to investigate the question: Can climate and agricultural variables predict conflict? Specifically, we investigate whether the risk of a conflict outbreak is higher when climate shocks are present, using the El Nino Southern Oscillation as a proxy for systemic climate shocks.
