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This notebook showcases how you can use BigQuery ML to run propensity models on Google Analytics 4 data from your gaming app to determine the likelihood of specific users returning to your app.
Using this notebook, you'll learn how to:
- Explore the BigQuery export dataset for Google Analytics 4
- Prepare the training data using demographic and behavioural attributes
- Train propensity models using BigQuery ML
- Evaluate BigQuery ML models
- Make predictions using the BigQuery ML models
- Implement model insights in practical implementations
If you’d like to learn more about any of the topics covered in this notebook, check out these resources:
- BigQuery export of Google Analytics data
- BigQuery ML quickstart
- Events automatically collected by Google Analytics 4
If you have any questions or feedback, please open up a new issue.