The "Personal Key Indicators of Heart Disease" project focuses on analyzing a comprehensive dataset of patient medical records to identify key indicators and risk factors associated with heart disease. The goal is to use machine learning techniques to create predictive models that can assist healthcare professionals in early detection and prevention of heart disease.

Dataset: The dataset used in this project can be found here"https://www.kaggle.com/code/andls555/heart-disease-prediction/input". It includes a wide range of patient information, including demographic details, lifestyle factors, and medical history, which will be used to uncover insights related to heart disease.