grknc / customer-churn-analyzer-with-ml

Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer

Telco Churn Analysis and Modeling

About the Project

Telco Churn Analysis is a project that analyzes and predicts customer churn rates in the telecommunications sector. This project aims to understand churn tendencies using customer data and develop strategies to prevent them.

Installation

To run this project in your local environment, follow these steps:

Clone the project:

git clone [repository-link]

Install the necessary libraries:

pip install -r requirements.txt

Usage

Follow these steps to use the project:

Run Scripts

Navigate to the src folder and execute the scripts found there.

Examine Analysis Results

Open and run the Jupyter notebooks located in the notebooks folder. These notebooks include topics such as:

• Advanced Exploratory Data Analysis
• Feature Engineering
• Machine Learning Modelling (Specifically, in the ML part, XGBoost, LightGBM, RandomForest, DecisionTreeClassifier, and Stacking Classifier were implemented)

Data Sets

Data sets used in this project are located in the data folder.

Contribution

If you would like to contribute to the project, please follow these steps:

• Fork the project.
• Add your feature or correction.
• Send a pull request along with your changes.

License

This project is licensed under MIT License. For more information, see the LICENSE file.