This is my first app created to predict customer churn. (Using ML Logistic Regression model)
We predict the value of customer churn in this application.
Example customer input:
customer = {"contract": "two_year", "tenure": 12, "monthlycharges": 10}
output:
{'churn': False, 'churn_probability': 0.1754496030637589}
We've saved our model and the DictVectorizer in churn-model.bin file.
We've used Procfile for heroku app to be able to run.
Files such as Pipfile, Pipfile.lock and Dockerfile was not needed for the heroku app.