Update classification tools and ML notebooks

[cbur24]

Proposed changes

ML notebooks and classification tools reviewed and updated to use odc-geo based tools, in anticipaion of the ODC 1.9 upgrade. Along with minor revisions to the notebooks where stuff was broken. There is an ongoing issue with predict_xr where per-class probabilities fail when using dask. I will return to this issue in the future, for now the ML notebooks are working.

Checklist

If this is a notebook, then have you:

• Checked the structure of the notebook follows our DEA-notebooks template
• Removed any unused Python packages from Load packages
• Removed any unused/empty code cells
• Removed any guidance cells (e.g. General advice)
• Ensured that all code cells follow the PEP8 standard for code. The jupyterlab_code_formatter tool can be used to format code cells to a consistent style: select each code cell, then click Edit and then one of the Apply X Formatter options (YAPF or Black are recommended).
• Included relevant tags in the final notebook cell (refer to the DEA Tags Index, and re-use tags if possible)
• Tested notebook on the DEA Sandbox
• Cleared all outputs, run notebook from start to finish, and save the notebook in the state where all cells have been sequentially evaluated
• If applicable, update the Notebook currently compatible with line below the notebook title to reflect the environments the notebook is compatible with
• Check for any spelling mistakes using the DEA Sandbox's built-in spellchecker (double click on markdown cells then right-click on pink highlighted words). For example:

[review-notebook-app]

Check out this pull request on 

See visual diffs & provide feedback on Jupyter Notebooks.

---

Powered by ReviewNB

[robbibt]

Hey @cbur24, I can see the tests failing here - seems like a simple issue of a missing import, is this something you're able to fix?

[robbibt]

This is fantastic, thanks @cbur24! Really nice to update to odc.geo here, should make future upgrades much easier.