This project utilizes machine learning techniques to predict the quality of red wine based on various physicochemical properties. It aims to provide valuable insights for wine enthusiasts and producers, and demonstrate the potential of data science in the field of oenology.
Run the Jupyter Notebook to start the analysis. The notebook is structured to guide you through the data preprocessing, model training, and evaluation stages.
The notebook provides visualizations and statistical outputs to interpret the quality of red wine. Make sure to read the descriptions and interpretations provided to understand the results fully.