Predict Taxi Fare with a BigQuery ML Forecasting Model

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.

• 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!