From sample dataset to activation, these componentized patterns are designed to help you get the most out of BigQuery ML and other Google Cloud products in production.

• Recommendation systems:
  • How to build a recommendation system on e-commerce data using BigQuery ML. (Code | Blog Article)
• Propensity to purchase model:
  • How to build an end-to-end propensity to purchase solution using BigQuery ML and Kubeflow Pipelines. (Code | Blog Article)
• Activate on Lifetime Value predictions:
  • How to predict the monetary value of your customers and extract emails of the top customers to use in Adwords for example to create similar audiences. Automation is done by a combination of BigQuery Scripting, Stored Procedure and bash script. (Code)
• Clustering:
  • How to build customer segmentation through k-means clustering using BigQuery ML. (Code)
• Demand Forecasting:
  • How to build a time series demand forecasting model using BigQuery ML (Code)

This is not an officially supported Google product.

All files in this repository are under the Apache License, Version 2.0 unless noted otherwise.