Classification, Catboost, Fastapi, Docker, Streamlit.
catboost import CatBoostClassifier # Load the trained model MODEL_PATH = "model/cat_model.cbm" model = CatBoostClassifier() model.load_model(MODEL_PATH) def predict_churn(user_input): try: # Prepare data for prediction user_data = pd.DataFrame([user_input]) # Make prediction prediction =