Wabash - Predicting Future Warranty Costs
 Closed for Registration
  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Manufacturing
  • Keywords: Machine Learning, Predictive Analysis
  • Tools: Python
  • Citizenship: Open to all students
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 2022 - 2023 Last updated: Aug. 4, 2022, 8:42 a.m.