November 10, 2023
In this report, I present a comprehensive analysis of a Credit Card Segmentation and Prediction project.
The context involves utilizing machine learning techniques to classify credit card users into distinct
segments. The problem stems from the need to understand user behavior and tailor financial services
accordingly. My main purpose is to develop a predictive model for segmenting credit card users based on
their transactional patterns. The approach includes a detailed process overview, data preparation,
exploratory data analysis, performance metric selection, unsupervised and supervised model building,
learning curve-based model debugging, and model deployment.