Shravan Kanamadi
Computer Science at University of Hertfordshire
Work by Shravan Kanamadi
- Predicting Customer Lifetime Value (CLV) Using Machine Learning: A Comparative Study of Random Forest and XGBoost with Behavioural Clustering
This project investigates the effectiveness of machine learning models in predicting Customer Lifetime Value (CLV) using the Online Retail II dataset. RFM (Recency, Frequency, Monetary) features were engineered and enhanced through K-Means behavioural clustering to segment customers. The study…