The Machine Learning Zoomcamp teaches foundational and advanced ML concepts using tools like NumPy, Pandas, Scikit-Learn, TensorFlow, XGBoost, Flask, Docker, AWS, Kubernetes, and KServe. It covers regression, classification, evaluation metrics, neural networks, deployment strategies, and end-to-end projects to bridge theory and practice.
This project implements a full-stack data engineering solution that connects to the Spotify Web API to extract a user’s recently played tracks, stores the data in a PostgreSQL database, applies transformations using dbt, and delivers actionable insights via Metabase dashboards.