Getting Started with BQML




Create a BigQuery dataset

Create a model to predict visitor transaction

Evaluate the model

Predict purchases per country

Predict purchases per user

Getting Started with BQML

45 menit 1 Kredit


Google Cloud Self-Paced Labs


BigQuery Machine Learning (BQML, product in beta) enables users to create and execute machine learning models in BigQuery using SQL queries. The goal is to democratise machine learning by enabling SQL practitioners to build models using their existing tools and to increase development speed by eliminating the need for data movement.

There is a newly available ecommerce dataset that has millions of Google Analytics records for the Google Merchandise Store loaded into BigQuery. In this lab you will use this data to create a model that predicts whether a visitor will make a transaction.

What you'll learn

How to create, evaluate and use machine learning models in BigQuery

What you'll need

  • A Browser, such as Chrome or Firefox

  • Basic knowledge of SQL or BigQuery

Bergabunglah dengan Qwiklabs untuk membaca tentang lab ini selengkapnya... beserta informasi lainnya!

  • Dapatkan akses sementara ke Google Cloud Console.
  • Lebih dari 200 lab mulai dari tingkat pemula hingga lanjutan.
  • Berdurasi singkat, jadi Anda dapat belajar dengan santai.
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