Machine Learning Course Enrollment Predictive Model

Develop a Python-based predictive model using scikit-learn that analyzes historical course enrollment data from Google Sheets. The script should import sheet data, perform feature engineering on student demographics, semester patterns, and course attributes, then generate a machine learning model predicting future enrollment probabilities with at least 85% accuracy. Include comprehensive model evaluation metrics and a Jupyter notebook demonstrating the entire workflow.