Develop a machine learning model that aims to classify patients as to whether they are diabetic or not. The model will use a patient's medical data and various health features to provide an accurate prediction of their diabetes status, thereby aiding in early diagnosis and appropriate treatment.
Link Deploy: here
The dataset contains 8 attribute columns and 1 label column that contains 2 classes, namely 1 and 0. The number 1 indicates that the person is positive for diabetes and 0 indicates otherwise. There are 768 samples which are 768 female patients of Pima Indian descent.