NBA Player Clustering Analysis

In this project, I applied data science techniques to analyze NBA player statistics and identify distinct player archetypes. The analysis involved:

• Dimensionality reduction techniques to handle high-dimensional player statistics
• Clustering algorithms to group players with similar playing styles
• Visualization of player clusters to identify distinct archetypes in the modern NBA

Project Report

Project Presentation