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This app identifies customer default behavior using machine learning as a client server model. This app uses full-stack-starter-template repo to quickly build and deploy data science (or any other) application in cloud.

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royxss/credit-risk-analysis

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Description:

This application performs credit risk analysis using machine learning and identifies customers who are most likely to default on their payment next month.

How to start the application:

Use docker container to start the application from the folder where Dockerfile exists. Note: Please make sure docker is installed in your machine

  • git pull
  • docker stop $(docker ps -q --filter ancestor=credit-risk-app-monolith) # if already running
  • docker build -t credit-risk-app-monolith .
  • docker run --rm -d -p 9090:9090 credit-risk-app-monolith

Test only front-end?

  • docker build -t frontend .
  • docker run -it -p 3000:3000 frontend:latest

Open browser using http://0.0.0.0:9090/dashboard/

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This app identifies customer default behavior using machine learning as a client server model. This app uses full-stack-starter-template repo to quickly build and deploy data science (or any other) application in cloud.

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