Extending the data science workflow: {vetiver} and {pins}

Data practitioners possess a robust skill set in data analysis and model development. However, there's often a gap in understanding tasks beyond the conventional data science workflow, like deploying models as API endpoints or monitoring model decay. In this session, we'll delve into the fundamentals of machine learning operations (MLOps) tasks, leveraging the vetiver and pins packages. Our emphasis will be on exploring various real-world scenarios, good and bad, where these tools can be instrumental in solving practical challenges.