Red Wine Quality Predictor - uses decision tree and support vector machine (SVM) machine learning algorithms to predict wine quality based on features such as fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide, total sulfur dioxide, density, pH, sulphates, and alcohol.
Dataset used can be found at: https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-red.csv