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This project aims to build a classification model that predicts the quality of red wine based on its physicochemical properties. The dataset used for this analysis is the "Wine Quality" dataset, which contains various attributes such as alcohol content, acidity, pH, and others that influence wine quality. The objective is to use these features to accurately classify the wine quality into different levels.

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