The Comet ML Office Hours, hosted by The Artists of Data Science, recently held Session 2 of their series on "Standardizing the Experiment," focusing on the importance of defining the scope and success in machine learning projects. The session emphasized the need for clear communication among stakeholders and the significance of understanding project objectives to ensure consistency across teams. Harpreet highlighted crucial habits for successful ML projects, such as tracking metadata and systematically logging data. The session also underscored the importance of asking detailed questions to align project goals and protect resources. Additionally, resources like Andrew Ng's Machine Learning Coursera course were discussed, alongside Harpreet's article on defining scope and success. The series is ongoing and invites participants to join future sessions, which are held weekly and are free to attend.