Abstract
People today strive to live lavish lifestyles. They often use the items either to flaunt their possessions or on a regular basis. One such item is Wine. Wine is an alcoholic beverage made from fermented grape juice. Wine production is a time consuming process. Wine has been there for a long time. Wine has been believed to offer antioxidants that could lengthen life, and might help prevent heart disease and dangerous inflammation. In order to protect human health, it is crucial to evaluate and analyze the quality of wine before consuming it. Also for the wine makers there needs to be a procedure to analyze the quality of wine. This paper explores different machine learning algorithms which are cost-friendly and easy to use. A model has been developed using Random Forest Classifier which can indicate the quality of wine as bad or good. This type of prediction can be applied to different other products and makes human work easier.
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Chhikara, S., Bansal, P., Malik, K. (2023). Wine Quality Prediction Using Machine Learning Techniques. In: Senjyu, T., So–In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SMART 2023. Lecture Notes in Networks and Systems, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-99-0769-4_14
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DOI: https://doi.org/10.1007/978-981-99-0769-4_14
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