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Churn Prediction

Procfile 1.30% Shell 4.25% Python 89.75% Dockerfile 4.70%
machine-learning python streamlit docker docker-image kubectl kubernetes-deployment kubernates

churnmodel's Introduction

ChurnModel

Build Simple Docker Image , To Use Follow 3 instruction Listed below

To Get the Docker Image

docker pull karthiksaran11/churnmlproject

To Run the Docker Image

docker run --name mlproject -d -p 5000:8501 karthiksaran11/churnmlproject

To Check Browser

localhost:5000

To Add Kubernates create Deployment and Service .yaml file

cd "K8"

kubectl create -f churn-deployment.yaml

kubectl create -f churn-svc.yaml

Now file is added Check the status of the service

kubectl get svc

Now App is running on 32165 port , Test any Browser

http://localhost:32165/

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churnmodel's People

Contributors

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