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tensorflow and scikit-learn to train and build the model.

On the front FastAPI (behind uvicorn) to accept calls via REST API.

Deployed via docker.

To be honest, tensorflow and scikit-learn may not be the right fit for everything.

Every situation needs different approach and different solution.

Worth nothing, the most time consuming part was dealing with data itself and not model training or machine learning.

In couple of hours you'd notice you're starting at charts and tuning parameters.



"Worth nothing, the most time consuming part was dealing with data itself and not model training or machine learning."

Become a data scientist they said. Yay, artificial intelligence...


Hahaha. Yes, I felt that every second while dealing with it.




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