Predict Customer Churn

• Project Predict Customer Churn of ML DevOps Engineer Nanodegree Udacity

Project Description

The Project is aimed at identifying credit card customers who are most likely to churn. Machine learning algorithms have been used to achieve this objective. PEP8 standard has been followed while writing the Python code. Python Codes could be found in the repository along with the testing and logging python script.

Requirements

1. Let poetry create the virtual environment for you.

poetry install

2. Create the virtual environment beforehand and then poetry will follow your lead.

python -m venv .venv && \
  source .venv/bin/activate &&
  poetry install

Dependencies

• python = "^3.8"
• pandas = "^1.4.0"
• numpy = "^1.22.2"
• matplotlib = "^3.5.1"
• notebook = "^6.4.8"
• jupyter = "^1.0.0"
• autopep8 = "^1.6.0"
• pylint = "^2.12.2"
• shap = "^0.40.0"
• seaborn = "^0.11.2"
• pytest = "^7.0.0"

When your environment is ready, you can execute this project.

python main.py

To run the tests of this project you should run the following command on root folder.

python -m unittest tests.test_churn_library

Then all the tests should run and produce the logs in the docs/logs folder.