…
DEEP CREDIT RISK
  • WELCOME
    • CONTENTS
    • START Python
    • START R
    • FEATURED
  • DATA & CODE
  • TRAINING
    • ONLINE
    • ZOOM MASTERCLASS
    • IN HOUSE
    • UNI
  • PAPERS
  • CONTACT
  • 中文

Uni Presentation Materials

Draft Schedule
  • 1: Consumer credit
  • 2: Corporate credit
  • 3: Financial ratios
  • 4: Introduction to Python
  • 5: Outcome Engineering
  • 6: Feature engineering and selection
  • 7: Default risk modeling
  • 8: Loss rate given default modeling
  • 9: Expected credit losses
  • 9 -12: special topics (as you like, consider e.g., book chapters, case studies, etc.)
Please provide your course details to receive presentation materials (higher education lecturers only):

Submit
Back to Training
Copyright © 2023  |  Privacy Policy | Terms & Conditions
  • WELCOME
    • CONTENTS
    • START Python
    • START R
    • FEATURED
  • DATA & CODE
  • TRAINING
    • ONLINE
    • ZOOM MASTERCLASS
    • IN HOUSE
    • UNI
  • PAPERS
  • CONTACT
  • 中文