This post discusses feature engineering, model training, and evaluation, as well as classification threshold selection for a data science case study on credit default prediction. It also mentions the upcoming Part 2, which will focus on explainable AI.

7m read time From pub.towardsai.net
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Data Science Case Study — Credit Default Prediction: Part 1Feature EngineeringModel TrainingModel EvaluationClassification Threshold

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