Classification, Catboost, Fastapi, Docker, Streamlit.
trained model. Step 2: Loading the Model The script defines a function load_model() to load the pre-trained CatBoost model from the specified path. Step 3: Predicting Churn Probability Another function get_churn_probability() is defined to predict churn probability from the input data in DataFrame