Wine Quality Prediction using Data Mining Techniques

Overview

This project applies supervised and unsupervised data mining techniques to analyze wine quality data and identify key factors influencing classification outcomes.

Techniques Used

• Feature normalization and selection
• Classification / clustering models
• Model evaluation metrics

Tools & Technologies

• Python
• scikit-learn
• Pandas, NumPy

Skills Demonstrated

Data Mining, Machine Learning, Model Evaluation, Feature Engineering