[Review]: Machine Learning Trees Python

[gperu]

Lesson Title

Introduction to Tree Models in Python

Lesson Repository URL

https://github.com/carpentries-incubator/machine-learning-trees-python

Lesson Website URL

https://carpentries-incubator.github.io/machine-learning-trees-python/

Lesson Description

Decision trees are a family of algorithms that are based around a tree-like structure of decision rules. These algorithms often perform well in tasks such as prediction and classification. This lesson explores the properties of tree models in the context of mortality prediction.

The dataset that we will be using for this project is a subset of the eICU Collaborative Research Database that has been created for demonstration purposes.

Author Usernames

@tompollard

Zenodo DOI

No response

Differences From Existing Lessons

No response

Confirmation of Lesson Requirements

• [X] is the original work of the author(s), or that any content derived from another source is reused with permission and appropriate attribution
• [X] aligns with The Carpentries Code of Conduct
• [X] is published under a CC-BY or CC0 license
• [X] uses The Carpentries lesson template or Carpentries Workbench without significant customisation/adaptation.

JOSE Submission Requirements

• [ ] the lesson repository includes paper.md and paper.bib files as described in the JOSE submission guide for learning modules

Potential Reviewers

No response

[tobyhodges]

Thank you for submitting this lesson for review, @gperu.

My capacity for managing lesson reviews is quite limited at the moment and I will not be able to handle reviews of all of your submitted lessons simultaneously. If you have a preference for which lesson(s) you would like us to prioritise for review, please let me know and I will do my best to focus on that/those first.