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This project aims to predict the likelihood of heart disease in patients using machine learning algorithms. It is developed in Python using Jupyter Notebook and trained on a dataset containing clinical features like age, sex, cholesterol level, blood pressure, and more. The goal is to help in early diagnosis and risk assessment.
Dheeraj-Patil-rob/Heart-disease-prediction
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About
This project aims to predict the likelihood of heart disease in patients using machine learning algorithms. It is developed in Python using Jupyter Notebook and trained on a dataset containing clinical features like age, sex, cholesterol level, blood pressure, and more. The goal is to help in early diagnosis and risk assessment.