This project aims to predict heart disease using various machine learning models. The analysis is conducted in Python and covers detailed exploratory data analysis, feature selection, model building, and comparison to identify the most effective prediction model.
The dataset used in this project is located under Assets/dataset.csv and includes several attributes divided into demographic, behavioral, medical history, current medical condition, and a target variable for heart disease prediction.
This project is licensed under MIT
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