Abstract:

AIM: To demonstrate the fastest way to build and test a machine learning model.

METHOD: Use Pycaret to create automation.

1. For this demonstration, we shall use a cleaned diabetes dataset stored in the csv format as training data.
2. We shall find the algorithm that yields the highest accuracy using an open source python library called PyCaret.
3. The machine learning model will be trained and saved. 
4. We shall test the model on real-world data to see how it performs.

Expected outcome: a highly accurate model ready for deployment

Final work :  tirsa-v2.herokuapp.com/