/CREDIT_RISK_ANALYSIS

Predictive Analysis of the customers who would be future loan defaulters.

Primary LanguageJupyter Notebook

Credit Risk Analysis - Loan Defaulters

Description

Credit Risk Analysis. Predictions of loan defaulters (Class Imbalanced Problem).

How to run?

Open up terminal in the directory where main.py is stored and enter the below command.

python main.py

Make sure the data.csv file is present in the same directory.

The data is fetched from Kaggle:

Link to dataset: https://www.kaggle.com/wendykan/lending-club-loan-data/

Dockerized App

If you want to use the dockerized applcation, please enter the following commands.

docker build -t some-tag .

docker run some-tag

Note: You can also go through the main Jupyter Notebook for clear representation of the plots formed in the challenge and understand my modeling better.

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