Credit Scoring: Part 7 – Further Considerations in Credit Risk Modelling
Advanced validation framework and dealing with unbalanced data
Credit Scoring: Part 6 – Segmentation and Reject Inference
Segmentation and reject inference, or keep it simple? – That is the question!
Credit Scoring: Part 5 – Scorecard Development
Scorecard development describes how to turn data into a scorecard model
Credit Scoring: Part 4 – Variable Selection
How to achieve parsimony and what is the key information to look for?
Credit Scoring: Part 3 – Data Preparation and Exploratory Data Analysis
Data preparation is a key aspect of any data mining project including development of a credit scorecard
Credit Scoring: Part 2 – Credit Scorecard Modelling Methodology
How I make sure that other data scientists can replicate the same steps and produce similar results