Predicting medical appointment no-shows using machine learning and forecasting techniques. Combines patient demographics, health factors, and weather patterns to improve hospital resource planning and reduce missed appointments.
eda data-preprocessing binary-classification model-evaluation business-analytics time-series-forecasting streamlit-app-development
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Updated
May 8, 2026 - Jupyter Notebook