Assessed the risk factors of heart disease then built predictive models(Random Forest and XGBoost) with the help of one of R’s powerful suite of packages, Tidymodels which is designed to streamline machine learning workflow. One of the main focus was tuning of the models before prediction.
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Assessed the risk factors of heart disease then built predictive models(Random Forest and XGBoost) with the help of one of R’s powerful suite of packages, Tidymodels which is designed to streamline machine learning workflow. One of the main focus was tuning of the models before prediction.
Sofiaabi/Heart-Disease-Classification
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Assessed the risk factors of heart disease then built predictive models(Random Forest and XGBoost) with the help of one of R’s powerful suite of packages, Tidymodels which is designed to streamline machine learning workflow. One of the main focus was tuning of the models before prediction.
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