{"id":9495,"date":"2026-08-10T10:08:06","date_gmt":"2026-08-10T10:08:06","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-google-bigquery-ml-machine-learning-in-sql-without-python-2022-8\/"},"modified":"2026-08-10T10:08:06","modified_gmt":"2026-08-10T10:08:06","slug":"udemy-google-bigquery-ml-machine-learning-in-sql-without-python-2022-8","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-google-bigquery-ml-machine-learning-in-sql-without-python-2022-8\/","title":{"rendered":"Udemy \u2013 Google BigQuery ML Machine Learning in SQL (without Python) 2022-8"},"content":{"rendered":"
\n

Description<\/span><\/h2>\n

Google BigQuery ML Machine Learning in SQL (without Python) course. This comprehensive course is designed to teach you how to create and use machine learning models in the Google BigQuery environment. The main focus of the course is on using SQL commands to perform all stages of model building, from data preparation to evaluating results and making predictions. Participants in this course will work with a real dataset of car sales offers in the United States, and their goal will be to predict car prices. The course consists of seven main sections and a bonus section. At the beginning of the course, the working environment is created for participants. Then, a brief discussion of machine learning theory is given, and immediately after that, participants will create their first model. In subsequent lessons, various methods are taught to improve the model\u2019s performance through specific tricks and techniques, which is of particular importance.<\/span><\/p>\n

Throughout the course, participants are provided with all the necessary resources and can practice all the steps in practice in their free BigQuery account. One of the important features of this course is the emphasis on each participant completing a final project. During the course, the necessary guidance is provided to complete this project step by step, and after each practical lesson, an assignment is given that helps to advance the larger project. The ultimate goal of this project is to predict the price of used cars. To create motivation and ensure proper understanding of the material, questions are asked in the quiz section, the answers to which can be easily achieved through practical exercises.<\/span><\/p>\n

\n
\n
\n
\n
\n

What you will learn<\/span><\/strong><\/h3>\n