Heart Attack Risk ML Analysis

This repository contains the supplementary material for the Machine Learning module final assignment: Heart Disease Risk Prediction: An End-to-End Machine Learning Analysis

Contents

• HeartAttackRisk_ML_Cobos.ipynb – complete analysis including:
  • data import/pre‑processing
  • exploratory data analysis (univariate, bivariate, multivariate)
  • XGBoost modelling and evaluation
  • interpretation of feature importance and PCA visualisation
• data/cardiovascular_risk_dataset.csv – the dataset used

Project by Alejandro Cobos – February 2026