Learning Management System Churn Prediction Model

Create a comprehensive churn prediction model for e-learning platforms using TensorFlow.js and advanced machine learning techniques. Develop a feature engineering pipeline that incorporates multiple data sources including student interaction logs, course completion rates, time spent in platform, and demographic information. Implement a gradient boosting classification model that can predict student dropout probability with over 85% accuracy. Design an interactive dashboard using D3.js that visualizes churn risk factors and provides actionable insights for student retention strategies.