Tutorials

All BigQuery ML tutorials

• Creating a k-means clustering model

  In this tutorial, you will use a k-means model in BigQuery ML to identify clusters of data in the London Bicycle Hires public dataset.

• Using BigQuery ML to predict basketball outcomes

  This tutorial uses BigQuery ML to predict three point field goal attempts in basketball using the NCAA Basketball Data public dataset for BigQuery.

• Using BigQuery ML to predict birth weight

  This tutorial uses the BigQuery natality sample table to create a model that predicts the birth weight of a child.

• Using BigQuery ML TRANSFORM clause for feature engineering

  This tutorial uses the BigQuery TRANSFORM clause for feature engineering to create a model that predicts the birth weight of a child.

• Using BigQuery ML to make recommendations from movie ratings

  This tutorial uses the public movielens dataset to create a model from explicit feedback that generates movie recommendations for a user.

• Using BigQuery ML to make recommendations from Google Analytics data

  This tutorial uses the BigQuery Google Analytics sample to create a model from implicit feedback that recommends content for a visitor to a website.