PIMA-indian-diabetes-eda-prediction

Problem Statement:

Build a model to accurately predict whether the patients in the dataset have diabetes or not?

Dataset Description:

The datasets consists of several medical predictor variables and one target variable, Outcome. Predictor variables includes the number of pregnancies the patient has had, their BMI, insulin level, age, and so on.

Pregnancies: Number of times pregnant

Glucose: Plasma glucose concentration a 2 hours in an oral glucose tolerance test

BloodPressure: Diastolic blood pressure (mm Hg)

SkinThickness: Triceps skin fold thickness (mm)

Insulin: 2-Hour serum insulin (mu U/ml)

BMI: Body mass index (weight in kg/(height in m)^2)

DiabetesPedigreeFunction: Diabetes pedigree function

Age: Age (years)

Outcome: Class variable (0 or 1) 268 of 768 are 1, the others are 0

EDA and Model Building:

https://github.com/anikch/PIMA-indian-diabetes-eda-prediction/blob/main/pima-indian-diabetes-eda-prediction-hp-tuning.ipynb

Tableau Dashboard Link:

https://public.tableau.com/profile/anik.chakraborty#!/vizhome/Healthcare-DiabetesAnalysis_16205897996520/Dashboard