Classification — Predicting Customer Churn

Introduction

What is Customer Churn?

Customer churn is when customers or subscribers discontinue doing business with a firm or service.

To be simple, it is when customers stops being your customer.

Telco churn data includes information about a fictitious telecom company that provided home phone and Internet services to 7,043 California customers in the third quarter. Which customers have left, stayed, or signed up for their service shows?

In this project, we aim to find the likelihood of a customer leaving the organization, the key indicators of churn as well as the retention strategies that can be implemented to avert this problem.

📁 Dataset

Public dataset can be found here

🚀 Setup

Install the required packages to be able to run the evaluation locally.

You need to have Python3 on your system. Then you can clone this repo and being at the repo's root (root :: repo_name> ...) follow the steps below:

• Windows:

python -m venv venv; venv\Scripts\activate; python -m pip install -q --upgrade pip; python -m pip install -qr requirements.txt

• Linux & MacOs:

python3 -m venv venv; source venv/bin/activate; python -m pip install -q --upgrade pip; python -m pip install -qr requirements.txt

The both long command-lines have a same structure, they pipe multiple commands using the symbol ; but you may manually execute them one after another.

1. Create the Python's virtual environment that isolates the required libraries of the project to avoid conflicts;
2. Activate the Python's virtual environment so that the Python kernel & libraries will be those of the isolated environment;
3. Upgrade Pip, the installed libraries/packages manager to have the up-to-date version that will work correctly;
4. Install the required libraries/packages listed in the requirements.txt file so that it will be allow to import them into the python's scripts and notebooks without any issue.

NB: For MacOs users, please install Xcode if you have an issue.

✨ Contribution

Contributions, issues, and feature requests are welcome!

To contribute to this project, see the GitHub documentation on creating a pull request.

👏 Support

Give a ⭐️ if you like this project!

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© 2023 Ikogho Emmanuel