Diagnostics of Diabetics using Pima_Diabetes dataset
Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage. ADAP is an adaptive learning routine that generates and executes digital analogy of perceptron-like devices.
Number of times pregnant 2. Plasma glucose concentration a 2 hours in an oral glucose tolerance test 3. Diastolic blood pressure (mm Hg) 4. Triceps skin fold thickness (mm) 5. 2-Hour serum insulin (mu U/ml) 6. Body mass index (weight in kg/(height in m)^2) 7. Diabetes pedigree function 8. Age (years) 9. Class variable (0 or 1) **
This project is about the female patient records from Pima Indian Heritage, Arizona which deals about the diagnostics of Diabetics. We will be using the packages like pandas, numpy, seaborn, matpotlib to find some insights about the dataset