Coursera Plus Annual is 40% Off — Ends July 6.

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Google

Predict Taxi Fare with a BigQuery ML Forecasting Model

Google via Google Skills

Go to class Write review
Financial Edge Ad

The Private Equity Associate Certification

Learn More → University of the People Ad

Earn Your Business Degree, Tuition-Free, 100% Online!

Learn More →

Overview

AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
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.

Syllabus

  • GSP246
  • Overview
  • Setup and requirements
  • Task 1. Explore NYC taxi cab data
  • Task 2. Identify an objective
  • Task 3. Select features and create your training dataset
  • Task 4. Create a BigQuery dataset to store models
  • Task 5. Select a BigQuery ML model type and specify options
  • Task 6. Evaluate classification model performance
  • Task 7. Predict taxi fare amount
  • Task 8. Improving the model with Feature Engineering
  • Task 9. Test your understanding
  • Task 10. Other datasets to explore
  • Congratulations!

Tags

Reviews

Start your review of Predict Taxi Fare with a BigQuery ML Forecasting Model

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.