Bracketology with Google Machine Learning

In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.

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!