- End-to-end pipelines: data ingestion, preprocessing, model training.
- Projects include housing price prediction and medical diagnosis classification.
- Hyperparameter tuning with GridSearchCV and randomized search.
- Ensemble learning projects with AdaBoost, XGBoost, and stacking.
- Wrap models in basic Flask APIs for real-time inference.
