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Wine Quality Detector
Issue #139
Goal
The primary goal of this project is to develop a predictive model to determine the quality of wine based on various physicochemical properties. By leveraging different machine learning algorithms, we aim to find the most accurate model for predicting wine quality.
Models Utilized
->Support Vector Regression (SVR)
->Random Forest Regressor (RFR)
->Extreme Gradient Boosting Regressor (XGB)