Mobility is one of the potential factors in contributing to the spread of COVID-19. Our goal is to estimate the effect of state-wide policies on mobility signals at a county-level.
We aim to train a classifier to accurately classify a person whether or not has a heart disease problem. The dataset is provided by UCI Machine Learning Repository.