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loans

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We analyse unsecured peer to peer lending data with credit history, financial, historical and loan request application information at Lending Club, to study patterns characterizing borrower behaviour on the platform following the data science process. We specifically focus our attention on credit risk and identifying the key drivers behind the d…

  • Updated Jun 4, 2020
  • Jupyter Notebook

The project aims to develop a predictive model for loan default using the dataset given by Imperial College London. The goal is to analyse the data, understand the factors that contribute to loan defaults, and create a machine learning model that can forecast the likelihood of loan default for future borrowers.

  • Updated Mar 17, 2024
  • Jupyter Notebook

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