How We’ll Support You to Success

Working on such an open-ended project can be challenging. A quick check-in with the course staff might be just the thing to navigate the speed bumps and roadblocks that are sure to arise. To help facilitate these meetings:

Note

Each group will be assigned a TA who will be available throughout the process

Having someone data science wisdom on call from somebody who has been following your group’s project can be a big help. Don’t be shy about reaching out for a quick 20-minute meeting or sharing a roadblock your team is running into.

Note

Additionally, each group will meet with Prof Higger at least once through the semester to share progress and troubleshoot issues. (See schedule).

Common Questions

• Will this particular approach work to make progress on this problem?

• What can we do to make a more compelling project? Our dataset and analysis seem too straightforward.

• We’re stumped as to whether we violate this assumption required to use this machine learning method, can we talk this out?

• Is there another algorithm that also does this (or another python library)?

Please ask for help

Note

You will certainly need to learn a few skills outside the curriculum taught during our lessons.

Tip

Please reach out if you think we can be helpful.

Tip

Really, I think some of the most useful experiences for students happen in these meetings, please do take advantage of our great course staff!

Tip

Did I mention its a good idea to reach out with project concerns?