Student Work (Report) | CSC2034 Full Report - Data Science Report – Red vs White Wine | Newcastle

Student | Client Work (Report) | CSC2034 Full Report - Wine Quality Prediction Using ML Output Video | Newcastle University

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🚀 Video Details:
🎓 CSC2034 – Data Science Report Upload | Newcastle University (Computer Science)
This video presents a full report for the CSC2034 – Introducing Contemporary Topics in Computing course at Newcastle University, England. The task involves developing predictive models for wine quality using real-world red and white wine datasets from Portugal.

📊 Key Features Covered:

Data exploration using pandas, seaborn, and matplotlib

Feature engineering with alcohol_cat and isSweet

Correlation matrix analysis

ML models using scikit-learn (Logistic Regression, SVM, Decision Tree, etc.)

Model evaluation: accuracy, F1-score, ROC-AUC, and k-fold cross-validation

Binary classification vs regression comparison

📂 Dataset: UCI Wine Quality (Red & White)
🧠 Tools: Python, Jupyter Notebook, Scikit-learn
🏫 University: Newcastle University, UK
📘 Module: CSC2034 – Data Science
📍 Location: Newcastle upon Tyne, England

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