Venkat-023/Power-Consumption-Regressor
A full-stack machine learning project that compares and optimizes multiple regression models to predict power consumption. The system evaluates ensemble and boosting algorithms (XGBoost, Gradient Boosting, LightGBM, Random Forest, Extra Trees), identifies the best-performing model based on MAE and RMSE, and deploys the final model using FastAPI.
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Mar 17, 2026
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