Case Study: Customer Churn Prediction — Roadmap Step & Resources
Predicting which customers are likely to leave, using classification and interpretability
- Level: advanced
- Estimated time: 2 days
- Roadmap: Machine Learning
Mini projects
- Build an end-to-end churn prediction pipeline including EDA, modeling and SHAP explanations
Interview questions
- What business trade-off would you discuss with stakeholders about a churn model's precision vs recall?
Study resources
- Telco Customer Churn Dataset (Article) — A widely-used public dataset and starting point for a churn prediction project.
- Customer Churn Prediction Explained (Video) — A practical, end-to-end walkthrough of a churn prediction project.
Part of
- Real-World ML Case Studies & Capstone — section
- Machine Learning roadmap — the full learning path