Google Cloud Skills Boost

BigQuery for Machine Learning

5 个小时 Fundamental universal_currency_alt 2 积分
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.
BigQuery for Machine Learning徽章

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  • 实验

    Getting Started with BigQuery Machine Learning

    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.

  • 实验

    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.

  • 实验

    Predict Taxi Fare with a BigQuery ML Forecasting Model

    In this lab you will explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create a ML model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.

  • 实验

    Bracketology with Google Machine Learning

    In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.

  • 实验

    Integrating BigQuery ML with Dialogflow ES Chatbot

    In this lab you will train a simple machine learning model for predicting helpdesk response time using BigQuery Machine Learning.

  • info
    挑战任务信息
    前提条件
    It is recommended that students have familiarity with SQL and completed the BigQuery Basics for Data Analysts Quest before attempting these labs.
    支持的语言
    English, français, español (Latinoamérica), 日本語, português (Brasil), and Deutsch