Explore the process of tuning hyperparameters for an XGBoost model using tidymodels and #TidyTuesday data on beach volleyball matches. Dive into data reshaping, gameplay statistics analysis, and error handling. Learn to set up and rename variables, create model specifications, and implement a comprehensive tuning process. Visualize results, reshape data for plotting, and examine variable importance. Conclude with a final model fit and gain insights into optimizing XGBoost performance for predictive modeling in sports analytics.