Data Science Case Study — Credit Default Prediction: Part 1

Data Science Case Study — Credit Default Prediction: Part 1

Feature Engineering, Model Training and Evaluation, and Classification Threshold Selection

In financial institutions, credit default occurs when a borrower fails to fulfill their debt obligations, leading to a breach of the loan agreement. It represents the risk that a borrower will default on their debt, impacting lenders and investors. Machine learning models are increasingly being used for predictive modelling of credit default. We have to design a binary classifier to …

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