A machine learning project for (AI Systems Implementation) COMP8260 that predicts heart disease using clinical data. We compare a baseline Decision Tree with an advanced Neural Network, demonstrating a full ML pipeline from data preprocessing to model evaluation.

Key Features:

Advanced Predictive Analysis - Heart Disease UCI Dataset

Framingham Heart Study Dataset

Exploratory Data Analysis & Preprocessing

Model Training (Decision Tree & Neural Network)

Evaluation Using Accuracy, Precision, Recall, F1-Score

Final Report & Presentation

Team: Mohd Taufiq, Alvin Jacob, Hannah James, Alexander Onile