Classification, Catboost, Fastapi, Docker, Streamlit.
parameters, including verbosity and random state. We fit the model to the training data, specifying categorical features to ensure proper handling of categorical variables. I would like to emphasize that the model training phase has not been elaborated and it may be good to revisit this phase in