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Student Work(Dissertation)|CSC2034 Wine Quality Prediction with Machine Learning| Newcastle
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Student Work (Assignment)| COMP3013 3D Animation |C++ & OpenGL Graphics Project |UoM
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Student Work(Dissertation)|CSC2034 Wine Quality Prediction with Machine Learning| Newcastle
Student | Client Work(Dissertation)| CSC2034 Data Science: Wine Quality Prediction Model Using AI |Newcastle University
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This Data Science dissertation for CSC2034 (Introducing Contemporary Topics in Computing) focuses on predicting wine quality using Machine Learning models. The study applies Decision Trees, Linear Regression, and Feature Selection techniques to analyze red and white wine datasets from Portugal's "Vinho Verde" winery.
📌 Key Features:
✅ Exploratory Data Analysis (EDA) using Pandas & Seaborn 📊
✅ Machine Learning Model Training & Evaluation 🤖
✅ Feature Selection for Optimized Performance ⚡
✅ Regression vs Classification Models for Prediction 🎯
✅ Model Evaluation using Accuracy, Precision & F1 Score ✅
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