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Free throws in Basketball: A Data-driven perspective
By Tayo Castro, Harsh Vibhuti & Annie Dale We were provided with a dataset of over 620,000 rows of free throw data covering professional basketball players from the season starting in 2006 to the season starting in 2015. The data covers 32 teams (two of which have disbanded) with 1,098 players.
The Spotify Shuffle: Decoding Song Popularity and Recommending Hidden Gems
By Harsh Vibhuti and Luz Solorzano For this project we constructed a linear model to predict song popularity based on various features and developed a recommendation model that generates a playlist based on the selected song and its characteristics. Our dataset included features such as valence, aco
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