ML_classifcation :Credit Default predictions-Banking Sector

git link git repo link heroku app-link Create first flask classifciation machine learning project

[repo link](https://github.com/umaretiya)

conda create -p venv python==3.7 -y ml-classify

XGBoost model for credit card default prediction : ML projects

Buld docker image

• Image name banking:latest

docker build -t <image name>:<tag name> .

python -m pip install --upgrade pip'

docker image flask_app and credit_card docker image build -t <flask_docker> . # credit_card //for docker <doker_banking> docker run -p 5000:5000 -d <flask_docker> docker run --name flask1 -dit -p 5000:5000 a5f9c7a9a1 docker run -p 5000:5000 -e PORT=5000 a5f9c7a9a1

docker ps docker stop <container_id> docker login

renaming docker images

credit_card docker tag flask_docker /

docker push / docker images heroku login docker login --username= --password= heroku create heroku container:push web --app heroku container:release web --app

Note: imagename fro docker must be lowercase

heroku container:push web -a heroku container:release web -a heroku open -a heroku logs --tail -a

To list docker image

docker images

Run docker image

docker run -p 5000:5000 -e PORT=5000 f3322f5e3b00

python -c 'import secrets; print(secrets.token_hex())'

To check runnig container in docker

docker ps

to stop docker container

docker stop <container_id> ad6cabc7a281

Creating yaml file

.github/workflows/main.yaml

Git commands:

echo "# BankingProject" >> README.md git init git add README.md git commit -m "first commit" git branch -M main git remote add origin https://github.com/umaretiya/BankingProject.git git push -u origin main

git config --global core.compression 0 git clone --depth 1 <repo_URI>

cd to your newly created directory

git fetch --unshallow git pull --all

Buld docker image

docker build -t <image name>:<tag name> .

Note: imagename fro docker must be lowercase

To list docker image

docker images

Run docker image

docker run -p 5000:5000 -e PORT=5000 6ce17fe3d920

To check runnig container in docker

docker ps

to stop docker container

docker stop <container_id> ad6cabc7a281

Creating yaml file

.github/workflows/main.yaml

python setup.py install

install ipykernel

pip install ipykernel

Final ramarks: ML Clssification projects

• docker images - banking
• get repo - MLops_classifcation
• heroku app - ml-classify
• local dir - MLops_classifcation
• Author - Keshav
• Sector - Banking
• Use case - Default of Credit Card clients of Bank
• Datasets - archive.ics.uci.edu/ml/datasets
• Final Data - kaggle - default-of-credit-card-clients-dataset
• labels 0 or 1 - 1 for default and 0 for not default
• Model - XGBClassifier
• Accuracy - 81 %
• Framework - Flask-Python
• environment - conda