Heart disease is a leading global mortality cause, challenging health systems and individual well-being. Accurate prediction is key for prevention. Machine learning offers a promising tool in predictive analytics, identifying patterns traditional methods miss. This work benchmarks various algorithms to determine which predicts best.
To replicate this analysis, following steps:
git clone [email protected]:jpcrespo/heartdisease_predictor.git
cd heartdisease_predictorpython -m venv project
project/Script/Activate %Linux: $ source project/bin/activate
(project) pip install -R req.txtpython solution.py
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