In this contemporary world, consumers and sellers are keen about the quality of product produced and accurate certification of the authenticity is required. The objective of this study is to develop and evaluate a predictive model that accurately estimates key characteristics of wines based on their chemical composition and other relevant attributes. To accomplish wine prediction, different machine learning algorithms are used, including regression and classification techniques. Our proposed system ensures to provide a feasible solution with the most efficient results, which makes the process hassle free
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