Project Pitches

Please pitch a project idea in the #project-pitches channel on EdStem. Your project idea will not necessarily be the final project you work on — indeed, many of you will work on someone else’s idea. That’s ok! I am still expecting everyone to make a pitch.

First, read the course description of the project. Then, think about what you’d like to do!

Second, write your pitch! To write your pitch:

  1. Write one or two sentences about the big picture: what problem you’d like to address and how machine learning fits in.
  2. If your project needs data (almost all will), state your data plan. There are three ways:
    1. Describe a data set to which you currently have access.
    2. Link to an online data set that is suitable for addressing your problem.
    3. Describe a specific approach by which you will collect your own data.
  3. State what kind of problem your pitch involves. Is it a classification problem, a regression problem (predicting a quantitative outcome rather than a qualitative label), or an unsupervised problem like clustering?
  4. Describe how you’ll judge whether your project is successful. What are you looking to have produced/achieved by the end of the semester?
  5. Close your pitch by letting us know: why are you excited about this topic?



© Phil Chodrow, 2025