Learn how to implement bagging (bootstrap aggregating) in R using #TidyTuesday data on astronaut missions. Explore the dataset, analyze the data, build the data set, and create models using preprocessing, workflow, and bag models. Discover techniques for training multiple models, evaluating their performance, and renaming them for clarity. Follow along with the step-by-step process to predict astronauts' mission duration using tidymodels and bootstrap aggregation techniques.