Michigan State University Data Science Capstone.
In class today your team will finish your tutorials and share them with the class.
Each group will spend about 3 minutes showing us their selection metric and telling the class which tutorial they are planning to add for the DTTD. If we have more than one group choose a tutorial we will come up with a method to merge the conflict.
NOTE: Teams and individuals are welcome to add additional tutorials in their free time. Instructors may even provide extra credit but this is not guaranteed.
Use the remainder of the class period to work on the tutorials you selected. This is a multi-week in-class assignment and your instructors assume that you will not finish the tutorials today. You will also be given the entire class period on the Friday after break to finish up the tutorial and you will be presenting it as a demo the second Friday after break.
Written by Dr. Dirk Colbry, Michigan State University
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