Michigan State University Data Science Capstone.
Today will be another group pairing exersize. Each Group will review another groups tutorial with the goal of making it better. Submitt pull requests for things you can fix and then submit issues for things you can not fix.
Write a short report as an eamil and send it to the other
Team 1 | Team 2 |
---|---|
QSIDE - SToPA: MultiTown Data Analysis | Techsmith - Healthy and Engaged User Data Exploration |
ICER - User Data Analytics | HFH - Revenue Cycle Prediction |
Kellanova - Point of Sale Analysis | HAP - Synthetic Data Generation |
Intramotev - Automated Video Data Labeling for Autonomous Trains | Ford - Defect Prediction |
Tribal Start Program - Tribal Early Childhood Research Data | City of Grand Rapids - Social Impact |
CEPI - Anomaly Detection | TwoSix - LLM to Graphs |
Conduct a meeting to review your assigned tutorial as a team. Make sure you have a timekeeper, facilitator and note taker for your meeting.
Review your partner team’s tutorials and provide feedback in the form of either an issue on the gitlab issues page and/or a pull request. When you are done, please review any other tutorials as you have time and are interested.
Summarize in an email to your instructor the following (make sure you cc your entire team):
After you have submitted the email to your instructions share a copy with the team that made the tutorial.
Written by Dr. Dirk Colbry, Michigan State University
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.