Create ML Models with BigQuery ML
Fundamental 6 Steps 7 hours 34 Credits
Earn a skill badge by completing the Create ML Models with BigQuery ML quest, where you learn how to use BigQuery ML to: create machine learning models, create a classification model, create a forecasting model, and implement a chatbot using Dialogflow for dynamic real-time responses.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
Prerequisites:Prior to enrolling in this skill badge quest, it is recommended complete the BigQuery Basics for Data Analysts quest.
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.
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.
In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.
In this lab you will train a simple machine learning model for predicting helpdesk response time using BigQuery Machine Learning.