Chapter 7 Linear Regression, Logistic Regression and Regularization: An Application in International Strategy
Description
During the session, we will use a case study of a U.S. distribution company that is looking to implement a data strategy to better understand the characteristics of its customers. We will discuss the predictive quality of the models and their usefulness in deploying an international strategy.
Concepts discussed :
1 regression methods
2 validation of models in automatic learning
3 analysis of consumer behaviour
4 construction of an informative model for international deployment
Pre-Session Activities/Resources
- Datar, Srikant M., and Caitlin N. Bowler. 2018d. “Predicting Purchasing Behavior at PriceMart (E) | Harvard Business Publishing Education.” 2018. https://hbsp.harvard.edu/product/119025-PDF-ENG?Ntt=pricemart&itemFindingMethod=Search.
Session Activities/Resources
- Datar, Srikant M., and Caitlin N. Bowler. 2018th. “Predicting Purchasing Behavior at PriceMart (B) | Harvard Business Publishing Education.” 2018. https://hbsp.harvard.edu/product/119026-PDF-ENG?itemFindingMethod=Other.
Post-session Activities/Resources
General Resources