Creating an API for the Model prediction and inference using Flask

With the model built, I started to look into tools and ways to perform inference regarding the model working on unseen data and hopefully making comparisons of the performance.
Firstly I save the model on the PC and install Flask.
with the code from https://www.datacamp.com/tutorial/machine-learning-models-api-python , i created the api.py.
I am currently busy installing the Postman Agent so i use it to call the API and perform inference.

  







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