AI News, Classifications in R: Response Modeling/Credit Scoring/Credit Rating using Machine Learning Techniques
- On Wednesday, October 17, 2018
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Classifications in R: Response Modeling/Credit Scoring/Credit Rating using Machine Learning Techniques
Though we have selected credit scoring problem as a case study in this article, the same process will be applicable for wide range of classification or regression problems “Response modeling”, “Risk Management”, “Attrition/Churn management”, “Cross-Sell/Up-Sell”, “usage Patterns”, “Net Present Value”, “Life Time Value”, “Predictive Maintenance and condition based monitoring”, “Warranty”, “Reliability”, “Failure Prediction”, “Image/Video Processing”, “Crime”, “Medical Experiments”, “Hidden pattern recognition” .
The basic difference of traditional modeling and machine learning is that “in traditional modeling we intend to set up a modeling framework and try to establish relationships while in machine learning we allow the model to learn from the data by understanding the hidden patterns”.
- On Tuesday, June 25, 2019
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