This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create an ML model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.
Predict Taxi Fare with a BigQuery ML Forecasting Model
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Predict Taxi Fare with a BigQuery ML Forecasting Model
Instructor: Google Cloud Training
Included with 
Build in-demand job skills with step-by-step instructions
Intermediate level
Some related experience required
1 hour
Learn at your own pace
Hands-on learning
What you'll learn
Use BigQuery to find public datasets.
Query and explore the public taxi cab dataset.
Create a training and evaluation dataset to be used for batch prediction.
Skills you'll practice
Details to know
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Taught in English
No downloads or installation required
Only available on desktop
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About this project
Instructor
Offered by
How you'll learn
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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