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omogbolahan94/Containerize-Customer-Churn-Prediction

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.idea

.idea

 
 

Dockerfile

Dockerfile

 
 

Pipfile

Pipfile

 
 

Pipfile.lock

Pipfile.lock

 
 

Telco-Customer-Churn.csv

Telco-Customer-Churn.csv

 
 

interacting-with-churn-server.py

interacting-with-churn-server.py

 
 

model_c=0.1.bin

model_c=0.1.bin

 
 

predict_customer.py

predict_customer.py

 
 

server.py

server.py

 
 

train-save-model.py

train-save-model.py

 
 

using-docker-command

using-docker-command

 
 

using-pipenv

using-pipenv

 
 

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In this project, the model is save and reused for prediction. Also, it is being containerize with docker to be ready for deployment.

Topics

python docker regression model-evaluation p-values coefficiemts coefficients-of-linear-regression
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