A project guide designed to teach users how to train and deploy a BigQuery ML XGBoost classifier for predicting user churn on a mobile gaming application. It provides step-by-step instructions for tasks such as exploring and preprocessing data in BigQuery, tuning and evaluating the model, explaining it with BigQuery ML Explainable AI, generating batch predictions, and finally exporting and deploying the model to a Vertex AI Prediction Endpoint