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
Predict Taxi Fare with a BigQuery ML Forecasting Model
Instructor: Google Cloud Training
Access provided by Universidad Sergio Arboleda
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
Shareable certificate
Add to your LinkedIn profile
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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