TNeri1/guide_ML

Temple for team training

Each team is responsible for a 30-60 minute training during the semester. If the topic connects to cloud computing or big data, it is most likely available for your team to present. Here are a few examples from previous semesters.

• Docker Containers and Azure
• Using Spark for exploratory data analysis
• Docker
• Rocker Guide

Suggestions

1. Use this template repo to create your training repo as guide_[topic]
2. Make sure your training repo is set as a template repo.
3. Delete the text from README.md and replace it with your training material.
4. Consider using presentation slides in your training (Read (remark.md)[remark.md] for more help).
   • Leverage index.html
   • Use GitHub Pages: Settings > Pages. Set source main and \(root).
5. Make sure that a user can use your template repo to see example scripts and have a standardized environment.
6. Provide any additional files needed in the subfolders of the repository.

Goals

• Leave the participants with working examples.
• Have documented instructions and references for further learning.
• Cite experts based on your research.
• Make sure your entire team contributes.