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Predict Taxi Fare with a BigQuery ML Forecasting Model

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Overview

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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!

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