Predict Customer Churn

• Project Predict Customer Churn of ML DevOps Engineer Nanodegree Udacity

Project Description

This project We created a library based on given churn_notebook.ipynb file. We apply tests and refactored the given code according to clean code principals.

Files and data description

• File 1: churn_library.py The churn_library.py is a library of functions to find customers who are likely to churn.
• File 2: churn_script_logging_and_tests.py Contain unit tests for the churn_library.py functions.

Running Files

• Run: Running the Test file churn_script_logging_and_tests.py Bellow command could be executed. It will user the library churn_library.py.

When we use bellow command We will get code rating like pylint churn_library.py Your code has been rated at 8.00/10 (previous run: 7.20/10, +0.80)

and 
 `pylint churn_script_logging_and_tests.py `
 `Your code has been rated at 8.00/10 (previous run: 7.80/10, +0.20) `

Using following comand we can do some auto formating to our code autopep8 --in-place --aggressive --aggressive churn_script_logging_and_tests.py autopep8 --in-place --aggressive --aggressive churn_library.py

After formating witj PEP 8 Style we can see the optimised result for our coding ratings

pylint churn_library.py Your code has been rated at 8.47/10 (previous run: 8.00/10, +0.47)

and 
 `pylint churn_script_logging_and_tests.py `
 `Your code has been rated at 9.25/10 (previous run: 8.00/10, +1.25) `