erharrison/Final_Project_Plymouth_University_2019

A project developed as part of my dissertation for my degree in Computer Science BSc. This work proposes a solution to predicting the number of Bd infected amphibians in North America. It is important to estimate these figures to help build preventative methods to stop the spread of the disease. The problem being dealt with by this application is a timeseries prediction problem. The optimal model configurations need to be implemented to maximise the accuracy of the model’s output, and therefore the predictions based off it. A Recurrrent Neural Network is used to produce predictions, which are ultimately visualised as a bubble map.

Python