• Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Athletics
  • Keywords: Machine Learning, Statistics, Women's Basketball
  • Tools: Azure, Databricks, Git, Python, SQL
  • Citizenship: Open to all students
Summary

We aim to categorize global player playstyles, creating a single metric from box score data to identify breakout performances and consistent top performers across various levels from collegiate to Olympic competition.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Indiana Fever - Player Archetype' in the Note section and select the appropriate CRN.]