BigQuery for Machine Learning
Fundamental 5 Steps 시간 25 크레딧
Want to learn and practice machine learning and build models in minutes instead of hours using just SQL? BigQuery Machine Learning is a new feature in BigQuery where data analysts can create, train, evaluate, and predict with machine learning models with minimal coding. In this series of labs you will experiment with different model types and learn what makes a good model.
Prerequisites:It is recommended that students have familiarity with SQL and completed the BigQuery Basics for Data Analysts Quest before attempting these labs.
In this lab you'll learn how to use BigQuery to create machine learning models for datasets to create a model that predicts whether a visitor will make a transaction.
In this lab you will use a newly available ecommerce dataset to run some typical queries that businesses would want to know about their customers’ purchasing habits.
이 실습에서는 BigQuery 공개 데이터세트에서 제공되는 수백만 건의 뉴욕 옐로캡 택시 운행 데이터를 살펴보고, BigQuery 내에서 ML 모델을 생성하여 요금을 예측하며, 이러한 예측을 수행하는 모델의 성능을 평가해봅니다.
In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.