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In this tutorial, you'll learn how to build a binary classification model fromtabular data using Vertex AI.
The entire process takes a couple of hours to complete. Most of that time isnot active time; you can close your browser window and return to the task later.
The goal of the trained model is to predict whether a bank client will buy aterm deposit (a type of investment) using features like age, income, andprofession. This type of model can help banks determine who to focus theirmarketing resources on.
This tutorial uses theBank marketingopen-source dataset, which is available through a Creative Commons CCO: PublicDomain license. The column names have been updated for clarity.
To complete this tutorial, you can either follow the instructions in thefollowing pages or use the in-console walkthrough tutorial, which is a similartutorial in the Google Cloud console.
Tutorial pages
This tutorial has the following steps:
| Steps | Description |
|---|---|
| 1.Set up your project and environment | Set up your project and environment. |
| 2.Create a dataset and train an AutoML classification model | Create a tabular dataset and train a classification model. |
| 3.Deploy a model and request a prediction | Create an endpoint and deploy your model to the endpoint. After your model is deployed to this new endpoint, test your model by requesting a prediction. |
| 4.Clean up your project | Clean up the Google Cloud resources that you created during this tutorial to avoid incurring unexpected charges from some of the resources. |
In-console walkthrough tutorial
These two tutorials are available in the Google Cloud console.
Part 1
In this tutorial, you'll learn how to build a binary classification model fromtabular data using Google's AutoML technology.
To follow step-by-step guidance for this task directly in the Google Cloud console, clickGuide me:
Part 2
This is the second tutorial on building an AutoML tabular model. This tutorialpicks up where the previous tutorial left off. You'll need themodel you trained in Part 1 to continue with this version.
To follow step-by-step guidance for this task directly in the Google Cloud console, clickGuide me:
Except as otherwise noted, the content of this page is licensed under theCreative Commons Attribution 4.0 License, and code samples are licensed under theApache 2.0 License. For details, see theGoogle Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-11-24 UTC.