Classification, Catboost, Fastapi, Docker, Streamlit.
StratifiedShuffleSplit from scikit-learn. This method preserves the proportion of classes in both training and testing sets, critical for reliable model evaluation. Step 4: Model Training with CatBoost Training our predictive model using CatBoost. We initialize a CatBoostClassifier with appropriate