Time for another holiday giveaway! Today, I will give away ten copies of Effective XGBoost, the best book to learn how to make classification models with XGBoost. My friend @tunguz (who wrote the foreword to the book) famously said, "XGBoost is all you need." It is a little snarky, but like we say about snark, "there is truth in them thar snark." This book packs a lot of punch. Many books spend a lot of time on the theory and then make a model based on the Titanic data. This book goes far beyond just creating models. It looks at a real-world data set and discusses EDA with Pandas and Seaborn, model tuning using Bayesian optimization, interpretation with SHAP, and deployment with mlflow. It also dives into topics that aren't really mentioned much elsewhere: exploring feature interactions, limiting interactions, and monotonic constraints. I will give away ten copies for the holidays. To enter, like this post and comment on what you want to use XGBoost for. If you already know XGBoost in and out, feel free to like and share this post as a gift to me.