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test-train-split

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A credit risk text classification pipeline designed to simulate real-world modeling workflows. This project uses financial text data to predict borrower risk, incorporating data cleaning, NLP preprocessing, and model evaluationβ€”emphasizing skills in feature engineering, model pipeline structuring, and explainable machine learning.

  • Updated May 4, 2025
  • Python

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