Project1:Predict Diabetes with Mind-Blowing Accuracy Using This Mind-Numbing Naive Bayes Classifier.

This dataset is originally from the National Diabetes and Digestive and Kidney Diseases Institute. The purpose of the dataset is to predict diagnostically whether a patient has diabetes or not, based on certain diagnostic measures included in the dataset. Several constraints have been placed on choosing these instances from a larger database. Especially all patients here are females of Pima Indian heritage at least 21 years old.
Content
The datasets are composed of several variables for medical predictors and one target variable, Outcome. Predictor variables include the number of pregnancies the patient has had, their BMI, the level of insulin, the age, etc.

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Dataset link :https://www.kaggle.com/datasets/yasse....