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.
Overview
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
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