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Predicting Quality of Wine with Classification Techniques and Regression Modeling

This project aimed to predict whether a wine is good or bad based on its properties, which leads suppliers to be able do distinguish more easily the quality of a wine as well as the most important components. It was used data mining techniques and algorithms for all the preparation and analysis. (Regression Technical Report, Classification Technical Report)

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Gonçalo Pinto
João Diogo Mota
José Costa
Nuno Costa

University of Minho, Software Engineering (4th Year).

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Universidade do Minho - 4º ano

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