This post will hold the schedule for the ACCESS-NRI 2025 training day using PyEarthTools to introduce people to machine learning for climate and weather. It will be updated progressively as we get closer to the event.
QR code directing to the URL for this Hive Forum post ( PyEarthTools Training Day )
1.45 - 3.15: Connecting to data with PET; problem overview, XGBoost example
3.30 - 5pm: Neural networks with PET
Session 1 - Setup, data, xgboost
1.45 – 2.15pm: Get everyone online, connected and set up, join projects. Run through the basic plotting notebook as proof of success
2.15 – 2.35: Introduction to ENSO, why is it important, what prior ML work exists
2.35 – 2.50: Introduction to data accessors in PET
2.50 – 3.15: XGBoost model of ENSO with PET:
- Data overview
- Data preparation
- Test/train/validate
- Connection to XGBoost
- If time, how to add new features using additional data accessors
- Try changing the bounding box
- Try adding an additional data source (e.g. satellite or another model variable)
- Other next steps from the notebooks as time allows
3.15 – 3.30: Afternoon tea and tech support
Session 2 – Neural Networks and Model Evaluation
3.30 – 4pm: Introduction to neural networks with PET
4pm – 4.30pm: Neural network architectures for ENSO
4.30-5pm: Model training and evaluation