Articles and Projects
Below are projects and articles grouped by topic.
Insight Data Science
Data science projects from the Insight Data Science program, spanning data collection across public APIs, emotion classification models, and deploying the result as a live web app.
Emotify: Filtering Spotify Playlists by Emotion
Building emotion classifiers from Last.fm, Spotify, and Genius data and deploying a Streamlit app on AWS EC2 that filters any public Spotify playlist by emotional content.
Building emotion classifiers from Last.fm, Spotify, and Genius data and deploying a Streamlit app on AWS EC2 that filters any public Spotify playlist by emotional content.
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.