Pre-render Jupyter notebook and move files to machine-learning folder

Pushing the photon_classifier Jupyter Notebook with pre-rendered cells that was ran on CryoCloud. Putting the files under a 'machine-learning' folder, to be consistent with the other tutorials using subfolders.

book/_config.yml

@@ -39,6 +39,7 @@ execute:
  - "**/geospatial-advanced.ipynb"
  - "cloud-computing/04-cloud-optimized-icesat2.ipynb"
  - "cloud-computing/atl08_parquet_files/atl08_parquet.ipynb"
+ - "machine-learning/photon_classifier.ipynb"
  allow_errors: false
  # Per-cell notebook execution limit (seconds)
  timeout: 300

book/_toc.yml

@@ -38,7 +38,7 @@ parts:
  - file: tutorials/cloud-computing/atl08_parquet_files/atl08_parquet
  options:
  - titlesonly: true
- - file: tutorials/photon_classifier
+ - file: tutorials/machine-learning/photon_classifier.ipynb
 - caption: Projects
  chapters:
  - file: projects/index
@@ -48,4 +48,3 @@ parts:
  - file: reference/bibliography
  - file: reference/IS2-resources
  - file: reference/questions
-

book/tutorials/index.md

@@ -10,4 +10,4 @@ Below you'll find a table keeping track of all tutorials presented at this event
 | [ICESat-2 Mission](./mission-overview/icesat-2-mission-overview.ipynb) | ICESat-2 Mission and Products | n/a | Not recorded |
 | [Cloud Computing](./cloud-computing/00-goals-and-outline.ipynb) | Cloud Computing Tutorial | n/a | Not recorded |
 | [Notebooks to Packages](./nb-to-package/index.md) | All about Python classes to packages | n/a | Not recorded |
-| [ICESat-2 photon classification](./photon_classifier) | Machine Learning, PyTorch | ATL07 | Not recorded |
+| [ICESat-2 photon classification](./machine-learning/photon_classifier.ipynb) | Machine Learning, PyTorch | ATL07 | Not recorded |

book/tutorials/photon_classifier.py → book/tutorials/machine-learning/photon_classifier.py

@@ -1,7 +1,7 @@
 # ---
 # jupyter:
 # jupytext:
-# formats: py:percent
+# formats: py:percent,ipynb
 # text_representation:
 # extension: .py
 # format_name: percent