Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions
This is a self-paced lab that takes place in the Google Cloud console. 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.
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- Level Professional
- Duration 2 hours
- Course by Google Cloud
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This is a self-paced lab that takes place in the Google Cloud console. 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.Modules
Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions
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- Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions
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Discover how to deploy a BigQuery ML customer churn classifier to Vertex AI for online predictions in this advanced IT & Computer Science lab by Coursera. Using a real mobile app dataset, you'll train, tune, evaluate, and generate predictions with a BigQuery ML XGBoost model. This 120-minute, self-paced course is available through Starter and Professional subscriptions, ideal for IT professionals seeking to enhance their machine learning and cloud deployment skills.
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