Diabetes Prediction Notebook

A data analysis and predicting model of the PIMA Indians Diabetes dataset from Kaggle.

Live Demo

Dataset

Shape of the dataset: 768 rows and 9 columns

• 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

Source

The original dataset is available at UCI Machine Learning Repository

EDA

Correlation Matrix

Histograms