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Could we predict heart disease before it’s too late?"

I built a machine learning model using real patient data to answer this question. The challenge was messy medical records and identifying the most critical features. Through careful data preprocessing and feature engineering, I developed a model that can help doctors make informed decisions and potentially save lives.

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