Description: An exploration into the UC Irvine mammography dataset, conducted as an assessment for the Machine Learning in Biomedicine and Healthcare module at UCL.
Aim: Use simple machine learning models to predict the malignancy of tumours found in mammography scans. The input features are descriptions of the scans made by a clinician.