• Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Feature Engineering, Forecasting, Predictive Analysis, Supply Chain
  • Tools: Data Cleansing, Data Exploration, Machine Learning, Python, Pytorch, Time Series Data Analysis
  • Citizenship: Open to all students
Summary

Develop a demand forecasting method to predict the next 12 months of demand for the given part-location combinations. The method built will be evaluated using metrics associated to intermittent demand patterns and weighted according to higher value parts.

Description

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