Create tutorial notebook based on climate bench

https://github.com/duncanwp/ClimateBench/blob/main/prepare_data.py

https://github.com/duncanwp/ClimateBench

https://github.com/neuromatch/climate-course-content/blob/main/tutorials/W2D4_AIandClimateChange/W2D4_Tutorial2.ipynb

- [ ] Download climate bench data to GWS
- [ ] data exploration notebook
- [ ] training pipeline https://github.com/duncanwp/ClimateBench/blob/main/baseline_models/Original_RF_model.ipynb
- [ ] inference & evaluation
- [ ] hyperparameter tuning
- [ ] explainable AI

Read prepare_data.py and the linked Original_RF_model.ipynb, then compare their workflow with W2D4_Tutorial2.ipynb. Run the ClimateBench data preparation first and organize a notebook covering download, exploration, training, inference and evaluation, tuning, and explainable AI. Done means all six checklist stages are represented and runnable.

Written by the indexing model from the issue text.