Statistical Machine learning

My first statistical machine learning project presented an opportunity to play with statistics data from my favorite sport, basketball. The NBA provides a wealth of data on player and team performance, and I was interested in exploring what kind of fun insights I could produce from a machine learning model that I built from the ground up. I landed on a somewhat silly model that predicts a player's position (e.g., point guard, shooting guard, small forward, power forward, center) based on their statistical performance data (points per game, rebounds per game, assists per game, etc.).

I'm working on a simplified write-up of the project, but in the meantime you can find a more technical write-up in the technical blog post.