Predicting Early Stage Diabetes Risk in Indivisuals using Machine Learning Data Scources https://archive.ics.uci.edu/ml/datasets/Early+stage+diabetes+risk+prediction+dataset. https://archive.ics.uci.edu/ml/machine-learning-databases/00529/ Problem at Hand About Data Description : The dataset was collected using direct questions from patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh and approved by doctor Metadata : The dataset is a multivariate datasets in CSV format. It has 520 Datapoints and 17 fields or attribtues Attribute Information : Age 1.20-65 Sex 1. Male, 2.Female Polyuria 1.Yes, 2.No. Polydipsia 1.Yes, 2.No. sudden weight loss 1.Yes, 2.No. weakness 1.Yes, 2.No. Polyphagia 1.Yes, 2.No. Genital thrush 1.Yes, 2.No. visual blurring 1.Yes, 2.No. Itching 1.Yes, 2.No. Irritability 1.Yes, 2.No. delayed healing 1.Yes, 2.No. partial paresis 1.Yes, 2.No. muscle stifness 1.Yes, 2.No. Alopecia 1.Yes, 2.No. Obesity 1.Yes, 2.No. Class 1.Positive, 2.Negative.