Predicting Hurricane Movements using ML – End of Term Assignment

The dataset that is worked with consists of roughly individual 40.000 data points of hurricanes. The aim of my workflow is to predict the future speed and bearing of the individual hurricanes using a Neural Network and a Random Forest Regressor. The data will be cleaned, features created and the prediction will be assessed for it’s accuracy as well as the two methods compared.