GitHub - ISNada/DiabetesDataset: This is a classification algorithm, K-Nearest-Neighbor, to predict whether a person has diabetes or not, based on a number of attributes, including: Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age, and Outcome is the target (0 does not have diabetes, 1 have diabetes)

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This is a classification algorithm, K-Nearest-Neighbor, to predict whether a person has diabetes or not, based on a number of attributes, including: Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age, and Outcome is the target (0 does not have diabetes, 1 have diabetes)