In this lab, you will train, tune, evaluate, explain, and generate batch and online predictions with a BigQuery ML XGBoost model. You will use a Google Analytics 4 dataset from a real mobile application, Flood it!, to determine the likelihood of users returning to the application. You will generate batch predictions with your BigQuery ML model as well as export and deploy it to Vertex AI for online predictions.
Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions
Google via Google Cloud Skills Boost
Overview
Syllabus
- GSP944
- Overview
- Setup and requirements
- Task 1. Enable Google Cloud services
- Task 2. Deploy Vertex Notebook instance
- Task 3. Clone the lab repository
- Task 4. Create a BigQuery dataset
- Task 5. Create a BigQuery ML XGBoost churn propensity model
- Task 6. Evaluate your BigQuery ML model
- Task 7. Batch predict user churn with your BigQuery ML model
- Congratulations!
Tags
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