
Angelite Forecast
A machine learning system that predicts enrollment trends by analyzing historical data and economic indicators, such as inflation rates and the consumer price index. The system utilizes algorithms including Linear Regression, KNN, Random Forest, XGBoost DART, Simple Exponential Smoothing, Moving Average, and an Ensemble model combining Random Forest, XGBoost DART, and Simple Exponential Smoothing. These algorithms were compared with existing forecasting methods to assess their effectiveness in predicting future enrollment patterns.