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Optimizing Bank Loan Approvals with Genetic Algorithms in Python

  • Genetic algorithms are being used to optimize loan approvals in banks by a data scientist.
  • Genetic algorithms offer a more efficient solution compared to traditional grid search and brute-force approaches.
  • GA is inspired by natural selection and evolves solutions over generations to find optimal outcomes.
  • This article explains the intuition behind genetic algorithms and their application in optimizing loan approval thresholds.

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