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
- Understand the Data
- Data cleaning
- Data Analysis
- 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.
- Python - 3.19.0
- Pandas
- Numpy
- Plotly
Created by [@niravkapoor] - feel free to contact me!