Drawing Insights with BigQuery ML

Machine learning is proving to be very powerful in gathering insights with your data. BigQuery ML allows the user to perform Machine Learning training, evaluation, and prediction on large sets of data. This lab will explain some of the basic concepts along with an example of training a linear regression and binary logistic regression model.

Learning Objectives

Upon completion of this lab, you will be able to:

• Utilize BigQuery ML to train, evaluate, and predict with a linear regression model
• Utilize BigQuery ML to train, evaluate, and predict with a binary logistic regression model
• Visualize a BigQuery ML Dataset

Intended Audience

This lab is intended for:

• Data engineers
• Anyone interested in gaining insights from BigQuery ML

Prerequisites

You should possess:

• A basic understanding of BigQuery ML
• A basic understanding of data engineering concepts

Updates

August 20th, 2025 - Resvoled issue connecting to the lab's notebook

May 28th, 2025 - Migrated lab environment and updated screenshots to reflect the latest UI

November 8th, 2024 - Updated the weather station data set

August 7th, 2024 - Added password protection to notebook