Visualisation of ECG Data and Prediction of Heart Disease using Machine Learning

This project focuses on the analysis and interpretation of the large amount of data generated by Electrocardiography (ECG) sensors. The results will be visualised and presented in a meaningful and understandable graphic. Finally, this project will explore the most appropriate machine learning techniques to predict the likelihood of heart disease. The goal of this project is to find a way to help users easily understand complex ECG data and make predictions about the onset of heart disease.