I built a simple credit scoring model.
Throughout the project, I used several important data science techniques, such as:
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Weight of evidence
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Information value
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Fine classing
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Coarse classing
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Linear regression
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Logistic regression
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Area Under the Curve
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Receiver Operating Characteristic Curve
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Gini Coefficient
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Kolmogorov-Smirnov
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Assessing Population Stability
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Maintaining a model