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Bank Loan Default Prediction by Shaiful Islam | Fresherz

← Student work at Independent University, Bangladesh

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Shaiful Islam

Final-year Economics student

Independent University, Bangladesh

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More from Shaiful Islam

Project

The Effect of Urbanization on Vulnerable Employment (2000–2024)

A comparative panel analysis from share this draft always.docx quantifying how urbanization differently reduces vulnerable employment across G7 and ASEAN economies from 2000 to 2024.

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Shaiful IslamIndependent University, Bangladesh

Project

Sales Performance Analytics Dashboard

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Shaiful IslamIndependent University, Bangladesh

Project

Bank Loan Default Prediction

Analyzed a Kaggle credit risk dataset using Python to predict bank loan defaults
Evaluated six classification models, identifying Random Forest as the optimal algorithm for balancing precision and recall in default prediction.
Performed data preprocessing, feature engineering, and model evaluation using Scikit-learn and Pandas
Visualized model performance metrics and compared predictive accuracy across all classifiers.

Python
Excel
Pandas