Group Project Progress Report
This report should submitted one per group via Moodle. You will also find on Moodle a link to see the different projects and teams. Partway into the semester each group will hand in a 2-3 page review of their project progress including:
- A description of the problem
- What machine learning model they are initially trying to learn with
- How and from where are they gathered data (data should be gathered by this point in the semester)
- A description of their data set including:
- Actual example instances, including a reasonable representation (continuous, nominal, etc.) and values for each feature
- How many instances and features you have in your final data set
- What data cleaning and formatting you have performed on the dataset
- Brief discussion of plans and schedule to finish the project
Acknowledgments
Thanks to Dr. Tony Martinez for help in designing the projects and requirements for this course.