Student Enrollment Predictive Modeling Pipeline

Develop a Python-based predictive modeling system that uses historical enrollment Excel data to forecast future student registrations. Implement advanced data cleaning with pandas, use scikit-learn for machine learning predictions, and create a visualization dashboard using Plotly. The system must handle missing data, perform feature engineering on demographic and historical enrollment metrics, and generate confidence interval predictions with model performance metrics.