Can data reveal which NBA players will become collectible icons in the future? In this case study, I’ll explore how data and logistic regression can answer this question. Using performance metrics, career achievements, and sales data (via Cardladder), I’ll build a machine learning model to predict whether an NBA player is likely to have long-term collectability.

This analysis not only identifies which players are already collectible but also offers a framework for predicting future collectible stars.