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This project predicts wine quality using machine learning based on chemical properties like acidity, sugar content, and alcohol. It includes data exploration, preprocessing, and applying models like Linear Regression, Random Forest, and SVM. Models are evaluated for accuracy to determine the best predictor of wine quality.

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