I trained multiple regressive models (Lasso, Ridge, AdaLasso, ElasticNet), optimized using a 10-fold cross validation, to learn the correlation between the probabilistic change in risk of death of a COVID-19 patient and change in multiple factors such as sex, age, province, and infection case. I used the publicly available patient info dataset provided by the Korea Disease Control and Prevention Agency (KCDC). You can view my project on GitHub here.