• Lecture time: Monday: 11:30:00 - 12:20:00 ET
  • Lab time: Friday: 11:30:00 - 13:20:00 ET
  • Domain: Athletics
  • Keywords: Logistics, Machine Learning, Python, sports analytics, XGBoost
  • Tools: Python, R, SQL
  • Citizenship: Open to all students
Summary

Estimating the probability of a player winning certain awards that are incentivized to more accurately estimate the value of each player's current contract.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Chicago Cubs Baseball Analytics' in the Note section and select the appropriate CRN.]