CMSE 495

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Michigan State University Data Science Capstone.

View the Project on GitHub msu-cmse-courses/cmse495-SS24

Asynchronous Class TODAY

Today we will NOT be meeting in person or online. Teams are welcome to use the classroom but the instructors will not be there. This is intended to give flexibility to students who may want to go and visit the solar eclipse.

However, you are still responsible for completing the following in-class activity. Please try to get this done before class on Wednesday.

Final Presentation Storyboard Feedback.

This will be a team-paring exercise. Please connect with your partner team (see table below), exchange your storyboards and provide feedback as follows…

As a group, write an email report for the instructor and the other team. This report should provide the following:

Make sure you title the email and make it clear your group name and the group you are reviewing). Email the group and the instructors to get credit.

Team A Team B
Kellanova - Point of Sale Analysis CEPI - Anomaly Detection
Tribal Start Program - Tribal Early Childhood Research Data Intramotev - Automated Video Data Labeling for Autonomous Trains
Techsmith - Healthy and Engaged User Data Exploration QSIDE - SToPA: MultiTown Data Analysis
City of Grand Rapids - Social Impact TwoSix - LLM to Graphs
ICER - User Data Analytics HAP - Synthetic Data Generation
Ford - Defect Prediction HFH - Revenue Cycle Prediction

Written by Dr. Dirk Colbry, Michigan State University Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.