I developed a machine learning model to classify whether a patient has diabetes or not, using a dataset of patient records and the ensemble technique of stacking. The goal of this project was to improve the accuracy of diabetes prediction, which is important for early diagnosis and treatment.
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The machine learning model to classify whether a patient has diabetes or not, using a dataset of patient records and the ensemble technique of stacking. The goal of this project was to improve the accuracy of diabetes prediction, which is important for early diagnosis and treatment.
nbilasals/diabetes_pred_stacking
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The machine learning model to classify whether a patient has diabetes or not, using a dataset of patient records and the ensemble technique of stacking. The goal of this project was to improve the accuracy of diabetes prediction, which is important for early diagnosis and treatment.
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