This project is coursework focused on Telecom Churn Prediction, a traditional machine learning problem aimed at identifying customers likely to churn. Designed in the context of the Telecom Churn Case Study Hackathon C54 Kaggle competition, it tackles the critical business challenge of customer retention in the telecom industry. To solve this problem in a streamlined manner, I leveraged the PyCaret framework. For a more detailed solution and implementation, please refer to my repository: https://github.com/NicoNicoNico123/Telecom-Churn-Case-Study-Hackathon/blob/main/project_tele.ipynb.
