In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.
Overview
Syllabus
- GSP461
- Overview
- Setup and requirements
- Task 1. Open the BigQuery console
- Task 2. NCAA March Madness
- Task 3. Find the NCAA public dataset in BigQuery
- Task 4. Write a query to determine available seasons and games
- Task 5. Understand machine learning features and labels
- Task 6. Create a labeled machine learning dataset
- Task 7. Create a machine learning model to predict the winner based on seed and team name
- Task 8. Evaluate model performance
- Task 9. Making predictions
- Task 10. How many did our model get right for the 2018 NCAA tournament?
- Task 11. Models can only take you so far...
- Task 12. Using skillful ML model features
- Task 13. Preview the new features
- Task 14. Interpreting selected metrics
- Task 15. Train the new model
- Task 16. Evaluate the new model's performance
- Task 17. Inspect what the model learned
- Task 18. Prediction time!
- Task 19. Prediction analysis:
- Task 20. Where were the upsets in March 2018?
- Task 21. Comparing model performance
- Task 22. Predicting for the 2019 March Madness tournament
- Congratulations!
