An end-to-end machine learning project demonstrating a complete data pipeline from ingestion to model training. This project showcases modern data engineering and ML practices using NHL game data as a real-world example.

Full stack data and machine learning engineering, using data of NHL. With python, we have tackle Data fetching, SQLite, data engineering, ETL, EDA, ML models, model registry, serving, MLFlow, Falsk, Streamlit