A Machine Learning Based Mechanism For Wine Quality Prediction

Abstract

After starting to research in the field of machine learning (ML) and scrolling through databases which were available on Kaggle, UCI, I was motivated to find more about this database as it was an interesting topic to research on and I was intrigued to find how could I find the relation between different composition of different components like chloride and sulphates in red wine and how with the help of powerful python libraries how can I accurately predict wine quality with components by machine learning. Therefore, in this paper, a machine learning based mechanism for the prediction of wine quality is proposed.