Blog

2017

• Credit Scoring: Part 9 - Scorecard Implementation: Deployment, Production and Monitoring

  15 Nov 2017
  The real benefit of a scorecard or a credit strategy is only evident on implementation.

• Credit Scoring: Part 8 - Credit Risk Strategies

  08 Nov 2017
  Credit risk strategy is the process that follows after the scorecard development and before its implementation. It tells us how to interpret the customer score and what would be an adequate actionable treatment corresponding to that score.

• Credit Scoring: Part 7 - Further Considerations in Credit Risk Modelling

  01 Nov 2017
  Advanced validation framework and dealing with unbalanced data

• Credit Scoring: Part 6 - Segmentation and Reject Inference

  25 Oct 2017
  Segmentation and reject inference, or keep it simple? – That is the question!

• Credit Scoring: Part 5 - Scorecard Development

  18 Oct 2017
  Scorecard development describes how to turn data into a scorecard model

• Credit Scoring: Part 4 - Variable Selection

  11 Oct 2017
  How to achieve parsimony and what is the key information to look for?

• Credit Scoring: Part 3 - Data Preparation and Exploratory Data Analysis

  04 Oct 2017
  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

  21 Sep 2017
  How I make sure that other data scientists can replicate the same steps and produce similar results

• Credit Scoring: The Development Process from End to End

  14 Sep 2017
  Why do credit scoring? What is a credit score?

• Machine Learning Past and Present

  09 May 2017
  Machine learning is no longer the preserve of the researcher and the academic but has become firmly established as a tool for business.