Milk Quality Prediction

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

Tech Stack:
Python Scikit-learn Pandas Matplotlib Seaborn
Tags:
Classification Machine Learning Dairy Industry Predictive Analytics
Milk Quality Prediction