Boosting Credit Risk Models by Prof. Bart Baesens

In this talk we elaborate on how to boost Credit Risk Models based upon more than 2 decades of research and consulting in the field. We elaborate on Credit Risk Model Requirements, Alternative Data Sources, Feature Engineering, Deep Learning and Profit Driven Modeling.

[@dataminingapps]

For more information on my courses on Credit Risk, Fraud Analytics, Machine Learning, Deep Learning, Web Scraping, see www.bluecourses.com

[@sudeeprawool4299]

Can someone please upload the slides presented in this presentation?

[@TheClockmister]

Very interesting stuff!

[@dataminingapps]

Glad you enjoyed it