Visual analytics Group

This group is focused on building an open-source visualization library that automates/assists the building of visual descriptive models of data.

“Garbage-in Garbage out” is a common data science proverb. Understanding data and the models that common from data is crucial. Students can work on any project that create visual models that help understand models and data.

Sub-projects include:

  • Auto-EDA
  • Feature importance/selection
  • Bias detection
  • SHAP values
  • Distribution checking
  • Partial dependence
  • Confounder detection
  • Model interpretability

Student suggested research related to visual analytics
Meetings will be weekly for an hour over Teams
Email AI Skunkworks to express interest or join.
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