Explore feature engineering techniques to incorporate text information as indicator variables for boosted tree models in this 52-minute screencast. Learn how to predict housing prices in Austin, TX using tidymodels and xgboost, based on data from the #SLICED semifinals. Follow along with exploratory visualization, tokenization, linear modeling, and advanced feature engineering. Dive into the process of running and tuning the model to achieve optimal results. Gain practical insights into data science workflows and machine learning applications in real estate analysis.