Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

In this Project, you will:

Explore and preprocess a Google Analytics 4 data sample in BigQuery for machine learning.

Train a BigQuery ML XGBoost classifier to predict user churn on a mobile gaming application.

Tune a BigQuery ML XGBoost classifier using BigQuery ML hyperparameter tuning features.

And more!

1.5 hours
Intermediate
No download needed
Shareable certificate
English
Desktop only

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.

Skills you will develop

  • Machine Learning

  • Data Management

  • Google Cloud Platform

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Learn a new tool or skill in an interactive, hands-on environment

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Google Cloud

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