Details

This project focuses on predicting the quality of red wine using machine learning techniques. The dataset used is winequality-red.csv, which contains physicochemical properties of different wines along with their quality ratings. The model employs a Random Forest Classifier to classify wine quality as either good or bad based on predefined thresholds.