This project aims to predict food demand based on historical data, leveraging various statistical methods to achieve accurate forecasts.
1.Linear Regression 2.Random Forest Regressor 3.DecisionTree Regressor 4.Gradient Boosting Regressor
sivas-2/Food-Demand
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