Energy Consumption Model Training

This project focuses on building and evaluating Linear Regression models from scratch to predict household energy consumption based on multiple features such as square footage, number of occupants, appliances used, and average temperature.

Multiple models were trained using individual features and combinations of features. Performance was compared to identify the most influential variables and the best-performing model. The final model, trained on all features, achieved the lowest error and provided the most accurate predictions.