Learn to predict Airbnb listing prices in New York City using tidymodels in this 41-minute screencast. Explore data visualization techniques, build and evaluate a custom model, and combine tabular and unstructured text data. Master the creation of a custom metric for model evaluation, specifically focusing on Root Mean Squared Logarithmic Error (RMSLE). Discover how to visualize predicted prices, implement transparent point scaling, and interpret model results. Compare your findings with the SLICED competition outcomes and gain practical insights into advanced data analysis techniques for real-world pricing scenarios.