6001CEM: Evaluating the accuracy of machine learning methods to predict COVID-19 cases

The repository contains the code explained within the project report. The code is responsible for training and testing the machine learning models using both, the cross-validation and the holdout method. For each iteration of the cross-validation method, the accuracy results are also displayed. Following this, graphs are produced to show all four models, training and testing during each iteration.

A dataset can also be found. This has been acquired from the government and is publically available at https://coronavirus.data.gov.uk/details/download. It contains the number of daily cases per day for the UK.