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precision-recall-curve

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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 evaluation—emphasizing skills in feature engineering, model pipeline structuring, and explainable machine learning.

  • Updated May 4, 2025
  • Python

98% accurate - This stroke risk prediction Machine Learning model utilises ensemble machine learning (Random Forest, Gradient Boosting, XBoost) combined via voting classifier. We tune parameters with Stratified K-Fold Cross Validation, ROC-AUC, Precision-Recall Curves and feature importance analysis.

  • Updated Sep 27, 2024
  • Jupyter Notebook

Proiect Natural Language Processing (NLP) Anul 3, Semestrul 2, Facultatea de Matematica si Informatica, Universitatea din Bucuresti

  • Updated May 13, 2025
  • Jupyter Notebook

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