Classification, Catboost, Fastapi, Docker, Streamlit.
df.select_dtypes(include=['object']).columns.tolist() # Initialize and fit CatBoostClassifier cat_model = CatBoostClassifier(verbose=False, random_state=0, scale_pos_weight=3) cat_model.fit(X_train, y_train, cat_features=categorical_columns, eval_set=(X_test, y_test)) # Predict on test set y_pred =