Machine Learning Student Dropout Prediction Model

Build a predictive Python model using scikit-learn that analyzes historical student performance spreadsheets to predict potential dropout risks. The script should preprocess Excel data, perform feature engineering, train multiple machine learning models (logistic regression, random forest, gradient boosting), and generate a comprehensive risk assessment dashboard. Include model evaluation metrics, feature importance visualization, and a recommendation system for intervention strategies.