Anush3008/Optimizing-Food-Supply-Chain-Management-Through-Advanced-Regression-based-Time-Series-Forecasting
Developed a time series forecasting system using LightGBM and NARX models to optimize food demand prediction. Used real-world data with preprocessing techniques like normalization and lag feature generation. The proposed NARX model outperformed LGBM, improving accuracy and helping reduce food waste through better supply chain decisions.
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