Explore machine learning experimentation in Visual Studio Code using the DVC extension in this 38-minute tutorial. Learn how to manage and make machine learning projects reproducible with the open-source tool DVC. Discover techniques for tracking datasets and models, running and comparing experiments, and visualizing results directly within VS Code. Follow along as the presenters demonstrate an example ML problem, introduce the DVC tool and its benefits, and showcase the DVC extension's features through a hands-on demo. Gain insights from the Q&A session and access additional resources to further your understanding of ML project management and reproducibility.