github.com/asaadkhattab/MedicalAppointmentNoShowsCapstone/
- Built a supervised ML classification model to predict why 20% of patients fail to appear to their scheduled appointment.
- Wrote a code using Sklearn’s OneHotEncoder to preprocess the categorical features and convert them to binary vectors.
- Used a Random Forest model and hyperparameter tuning to improve the ROC score to 0.74.