covid-19 mortality risk prediction

COVID-19 Mortality Prediction Dashboard

A machine learning project predicting whether a COVID-19 patient is likely to die based on their clinical and demographic data. Performed data cleaning and exploratory analysis using Pandas, addressed class imbalance with SMOTENC, and trained a Random Forest classifier tuned via GridSearchCV with stratified group cross-validation. Evaluated the model using accuracy, precision, recall, F1-score, and ROC-AUC. Deployed the project online with Streamlit Cloud and published the complete source code on GitHub