Leigh

Hi @alee thanks for highlighting those open issues (I checked for open issues but didn't see this in the title!). Sure, I can help!

Thanks everyone for your interest. I greatly appreciate all the tips on starting points! Looks like there are many different angles and ways we can extract and visualize the climate...

I'm also also curious how or if projects have an onboarding process (perhaps like Hoodie Camp) to get to know contributors' interests, such as building a portfolio, getting a job...

Since the PR for instructor notes https://github.com/carpentries-incubator/machine-learning-librarians-archivists/pull/84 is merged, I'll close this issue.

@davanstrien @mark-bell-tna I agree this is a great direction to updating the lesson structure. I included some feedback on the general structure of the lesson that can apply here as...

Suggestions for Chapter 03 – [Machine Learning Modelling Concepts](https://carpentries-incubator.github.io/machine-learning-librarians-archivists/03-AI-ML-concepts/index.html) Overall this lesson seemed very advanced for novice learners, the concept of a model/features/labels was difficult to convey in a short...

Suggestions for Chapter 04 – [What is Machine Learning good at? – Intro to AI for GLAM](https://carpentries-incubator.github.io/machine-learning-librarians-archivists/04-what-is-ml-good-at/index.html) This portion was of great interest to learners, specifically how this can be...

### Lesson Structure Observations The lessons contain a lot of information for someone new to AI/ML to take in. This includes a significant number of acronyms, basic vocabulary and some...