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loan-data

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This project is on a data set from Prosper, which is America’s first marketplace lending platform, with over $7 billion in funded loans. This data set contains 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, borrower employment status, borrower credit hi…

  • Updated Oct 10, 2018
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Project idea – The idea behind this ML project is to build a model that will classify how much loan the user can take. It is based on the user’s marital status, education, number of dependents, and employments. We can build a linear model for this project.

  • Updated Jul 28, 2020
  • Jupyter Notebook

To understand how data could be used to minimize the risk of losing money while lending to customers for a Consumer Finance Company by applying Exploratory Data Analysis techniques.The aim is to identify patterns through Univariate/ Bivariate analysis to establish the driving factors that are indicate the borrower's loan defaulting tendency, whi…

  • Updated Dec 4, 2020
  • Jupyter Notebook

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