vtech20/credit_card_default_pred

credit_card_default_pred

Abstract

Financial threats are displaying a trend about the credit risk of commercial banks as the incredible improvement in the financial industry has arisen. In this way, one of the biggest threats faces by commercial banks is the risk prediction of credit clients. The goal is to predict the probability of credit default based on credit card owner's characteristics and payment history.

Software and account Requirement.

1. Github Account [https://github.com/]
2. Heroku Account [https://dashboard.heroku.com/login]
3. VS Code IDE [https://code.visualstudio.com/download]
4. GIT cli [https://git-scm.com/downloads]
5. GIT Documentation [https://git-scm.com/docs/gittutorial]

Creating conda environment

conda create -p venv python==3.7 -y

conda activate venv/

OR

conda activate venv

pip install -r requirements.txt

To Add files to git

git add .

OR

git add <file_name>

Note: To ignore file or folder from git we can write name of file/folder in .gitignore file

To check the git status

git status

To check all version maintained by git

git log

To create version/commit all changes by git

git commit -m "message"

To send version/changes to github

git push origin main

To check remote url

git remote -v

To setup CI/CD pipeline in heroku we need 3 information

1. HEROKU_EMAIL = [email protected]
2. HEROKU_API_KEY = <>
3. HEROKU_APP_NAME = ml-credit-default-application

BUILD DOCKER IMAGE

docker build -t <image_na Note: Image name for docker must be lowercase

To list docker image

docker images

Run docker image

docker run -p 5000:5000 -e PORT=5000 f8c749e73678

To check running container in docker

docker ps

Tos stop docker conatiner

docker stop <container_id>

python setup.py install

Install ipykernel

pip install ipykernel