Welcome to the Machine Learning & MLOps Assignments repository for students of 42 Heilbronn! This repository offers hands-on assignments across three key areas of machine learning, designed to help you develop practical skills in both ML and MLOps.

• Part 1 introduces you to regression tasks and tracking experiments.
• Part 2 focuses on classification models and deploying your trained models using a serving API.
• Part 3 covers pipeline orchestration, enabling you to automate and manage end-to-end ML workflows.