Sports Data Science
NBA analytics projects: lineup-independent player impact modeling with regularized regression, style-of-play classification, and interactive tools for exploring play-by-play data.
Comp The Player: Classifying NBA Players
Performing informative NBA player comparisons to assess style of play using Random Forest classification.
Performing informative NBA player comparisons to assess style of play using Random Forest classification.
An RAPM Model to Assess NBA Players
Developing a lineup-independent NBA player impact model using ridge regression techniques on play-by-play data.
Developing a lineup-independent NBA player impact model using ridge regression techniques on play-by-play data.
An Interactive Bokeh App for NBA Stats Exploration
Building an interactive Bokeh dashboard to explore player, lineup, and play-by-play NBA data from scraped datasets.
Building an interactive Bokeh dashboard to explore player, lineup, and play-by-play NBA data from scraped datasets.