Diabetes Classification using Machine Learning

It is a simple Machine Learning project where I tried to classify if a person has Diabetes or not. I collected the dataset from Kaggle.

Dataset Link

This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.

After pre-processing the dataset, I splitted the dataset into 75:25 ratio. 75% data for training and 25% data for testing.

I used three classification models:

• Decision tree
• Random Forest
• K-neighbors classifier

You can find more about the project here.