This project leverages supervised machine learning models to classify milk quality into "Low," "Medium," and "High" categories using features such as pH, temperature, taste, odor, fat, and turbidity. Models like Random Forest and K-Nearest Neighbors (KNN) demonstrated the highest accuracy, offering actionable insights for the dairy industry.
Project Type: Model