Machine Learning REPA track is about Reproducibility, Experiments and Pipelines Automation! Our goal is to help participants to apply good engineering practices in Machine Learning projects The main topics of the section - Organize your ML project work - Code and Data version control - Model Lifecycle Management - ML pipelines automation - ML experiments management and metrics tracking - Testing in ML - CI / CD and MLOps in ML - Monitoring deployed models