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Uses a SQL database and Python to compute cosine similarity scores of the top prospects in the 2017 NBA Draft to alike professional players. Takes into account per 40 minutes and advanced statistics of top NBA players & prospects' NCAA seasons and returns two sets of the top 30 most similar NBA players' college seasons to a respective prospect.

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Uses a SQL database and Python to compute cosine similarity scores of the top prospects in the 2017 NBA Draft to alike professional players. Takes into account per 40 minutes and advanced statistics of top NBA players & prospects' NCAA seasons and returns two sets of the top 30 most similar NBA players' college seasons to a respective prospect.

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  • Python 95.8%
  • Shell 4.2%