Classification, Catboost, Fastapi, Docker, Streamlit.
incoming data into a DataFrame dataframe = pd.DataFrame.from_dict(data, orient='index').T # Make the prediction churn_probability = model.predict_proba(dataframe)[0][1] return churn_probability # Load the model model = load_model() # Create the FastAPI application app = FastAPI(title="Churn