Student Work (Report) | CSC2034 Full Report Part 1 - Wine Quality Data Exploration | Newcastle

Student | Client Work (Report) | CSC2034 Full Report Part 1 - Alcohol Content Binning & is Sweet Variable Output Video | Newcastle University

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🚀 Video Details:
This short video showcases Part 1 of a report submission under CSC2034 – Data Science (Contemporary Topics in Computing) at Newcastle University, UK. The project uses red and white wine datasets to explore features influencing wine quality.

🔍 What’s covered in this part:
– Comparison of red vs white wine quality distributions
– Alcohol category creation: alcohol_cat (low, mid, high)
– Binary classification of sweetness: isSweet
– Initial feature engineering for ML modeling

📘 Course Code: CSC2034
🏫 University: Newcastle University
📍 Location: Newcastle upon Tyne, England
📂 Dataset: UCI Portuguese Wine Quality (Red & White)

This part focuses on exploratory data analysis, feature transformation, and class balancing — laying the groundwork for predictive modeling in later parts.

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