Machine Learning in Customer Churn Prediction

The repository accommodates the author's research on churn models in the e-commerce environment with focus on selected economical aspects and interpretability.

Structure

├── code # python source
    ├── ingestion 
    ├── interpretation 
    ├── modeling          
├── data # datasets  
    ├── rees46  
        ├── delta # customer model
        ├── pipelines # ml pipes
        ├── raw # inputs 
    ├── retailrocket  
        ├── delta # customer model
        ├── pipelines # ml pipes
        ├── raw # inputs                              
├── jupyters # illustrates key concepts   

Datasets

https://www.kaggle.com/datasets/fridrichmrtn/e-commerce-churn-dataset-rees46
https://www.kaggle.com/datasets/fridrichmrtn/e-commerce-churn-dataset-retail-rocket

How to cite

Fridrich, M. (2023). Machine Learning in Customer Churn Prediction [Dissertation Thesis]. Brno University of Technology, Faculty of Business and Management. Supervised by Petr Dostál.