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Create a neural network model using the first eight columns as the key measurements from the given dataset diabetic.csv as input and the final
Create a neural network model using the first eight columns as the key measurements from
the given dataset "diabetic.csv as input and the final column, which encodes diabetic and
nondiabetic patients, as the output vector. The goal is to predict whether a patient is diabetic
based on the given features.
The dataset includes the followings as input and output variables:
Count of pregnancies
Glucose concentration in plasma hours after an oral glucose tolerance test
Diastolic blood pressure in mm Hg
Thickness of triceps skin fold in mm
Insulin level in serum hours after ingestion in mu Uml
Body mass index weight in kg divided by height in meters squared
Diabetes pedigree function
Age in years
Output: indicates nondiabetic and indicates diabetic patient
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