Wabash - Predicting Future Costs with Warranty Data
 Open for Registration
  • Lecture time: Monday: 09:30:00 - 10:20:00 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • Domain: Manufacturing
  • Keywords: Machine Learning, Predictive Analysis
  • Tools: Python
  • Citizenship: U.S. citizens and permanent residents preferred
Summary

Create a model that predicts future warranty costs using our historical warranty data and product specifications.

Description

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

AY 2023 - 2024 Last updated: July 21, 2023, 1:58 p.m.