Once you've got the best model based on your dataset and the model has been fully trained, it is time to deploy it. Showing how a model can be fully deployed into a working environment is beyond the scope of this book. You can find sufficient resources that will point you in the right direction in the Further reading section.

The main idea regarding model deployment is to use the trained model in a real working environment. Once deployed, it should go through A/B user testing so that you know how it will work in a real scenario. Once it has been fully tested, the API can be made available to the public.