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To identify credit card customers that are most likely to churn.

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7pandeys/Credit_card_Churn

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Predict Customer Churn

  • Project Predict Customer Churn of ML DevOps Engineer Nanodegree Udacity

Project Description

  • The purpose of the project is to predict for them who is gonna get churned so they can proactively go to the customer to provide them better services and turn customers' decisions in the opposite direction

Files and data description

  • Overview of the files and data present in the root directory.

data: bank_data.csv - This is raw source file images: eda: All eda images will store after running churn_library.py results: All models report and curve will store here logs: logs will store here models: Model .pkl will store here churn_library.py churn_script_logging_and_test.py README.md requirements_py3.6.txt

Running Files

  • To create model and images for Project ipython churn_library.py

  • To test churn_library.py functionalities and implementation ipython churn_script_logging_and_tests.py

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To identify credit card customers that are most likely to churn.

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