Project 2: Analyzing credit card user behavior using machine learning for segmentation and prediction.
Comprehensive analysis of Credit Card Segmentation and Prediction project
Utilizing machine learning to classify credit card users into distinct segments.
Addressing the need to understand user behavior for tailored financial services.
Main purpose: Develop a predictive model based on transactional patterns.
Detailed process overview, data preparation, exploratory data analysis.
Performance metric selection, unsupervised and supervised model building.
Learning curve-based model debugging and model deployment.
This Project’s GitHub Repository