Fundamental 5단계 5시간 크레딧 25개
Want to build ML models in minutes instead of hours using just SQL? BigQuery ML democratizes machine learning by letting data analysts create, train, evaluate, and predict with machine learning models using existing SQL tools and skills. In this series of labs, you will experiment with different model types and learn what makes a good model. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest>/a> to receive an exclusive Google Cloud digital badge.
기본 요건:
It is recommended that students have familiarity with SQL and completed the BigQuery Basics for Data Analysts Quest before attempting these labs.Quest Outline
Getting Started with BQML
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.
Predict Visitor Purchases with a Classification Model in BQML
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.
BigQuery ML 예측 모델을 사용하여 택시 요금 예측하기
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.
Implement a Helpdesk Chatbot with Dialogflow & BigQuery ML
In this lab you will train a simple machine learning model for predicting helpdesk response time using BigQuery Machine Learning.
지금 등록
배지 획득에 대한 진행 상황을 추적하려면 이 퀘스트에 등록하세요.
