Lending Case Study

Case study after analysing the data set of the Financial company. The aim is to identify patterns which indicate if a person is likely to default, which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, et

Process:

  • Understand the Data
  • Data cleaning
  • Data Analysis

Table of Contents

General Information

  • This case study analyse the different behavioural points.
  • It tries to draw the pattern, whether the loan applicant is likely to be defaulter or not.
  • loan.csv file is the sample dataset used.

Technologies Used

  • Python - 3.19.0
  • Pandas
  • Numpy
  • Plotly

Contact

Created by [@niravkapoor] - feel free to contact me!