Final Project: Lightning presentations

Final Project: Lightning presentations#

Logistics#

~4-5 minutes (max 5 minutes) per group
Format will be Google Slides to make transitions between groups easier
Sign up for a presentation slot linked here
Presentation template
Shared presentation slides

Guidelines#

You should cover your ML question, dataset, and a baseline metric. Your presentation does not need to include fully tuned model performance results.
Motivation: Introduce the problem to a general audience.
- Think of yourself as pitching the significance of your prediction task. Why does this question matter, and what could someone do with a good prediction?
Dataset: Introduce your dataset and how it connects to the ML question.
- Describe what the instances and features represent, what the prediction target is, and any notable characteristics (size, class balance, sensitive attributes).
Evaluation metric and baseline: Describe your evaluation metric and briefly discuss why you chose this metric for your evaluation. Then, provide a baseline result on the test set.
Next steps: Conclude with a brief forward-looking statement about your remaining modeling and data engineering plan.

Peer feedback#

During the presentations, you will give feedback to your classmates according to the following template:

Please provide one constructive point (though feel free to add more) for the two sections below. Your feedback will help the presenting group improve their final submission.

What I enjoyed#

Things you can consider:

Clear motivation for the prediction task
Interesting or well-chosen dataset
Thoughtful consideration of who would use this model and who it could affect
Clear description of features and target variable

Thoughts on dataset and approach#