A placeholder case study for a customer churn prediction project. Describe the dataset, exploratory analysis, model choice, evaluation metrics, and the business recommendations here.
Customer Churn Prediction
A data analytics project exploring customer churn drivers and building a simple predictive model to flag at-risk customers.
Highlights
- Cleaned and explored a customer dataset to identify churn patterns.
- Built a baseline classification model to score churn risk.
- Presented findings and actionable retention recommendations.