Project Page

Predicting Customer Attrition: Data Exploration and Machine Learning Models

Machine learning models used to detect and prevent customer churn for better retention strategies.

Client

Self-Initiated / Open Source Project

Services

['Predictive analytics', 'data exploration', 'machine learning']

Industries

churn prediction customer analytics data science machine learning classification models

Challenge

Customer departure creates major financial challenges and weakens business growth.

Companies struggle to retain customers when service quality declines or negative experiences occur. Identifying churn early requires reliable analytical methods that detect subtle behavioral changes.

Predicting Customer Attrition: Data Exploration and Machine Learning Models Main Image

Solution

Machine learning models classify customers based on behavior and service usage patterns.

Advanced data processing and class rebalancing strategies like SMOTE were used to train several algorithms. Ensemble models like Gradient Boosting and XGBoost showed the strongest performance in predicting customers likely to leave.