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For my Insight project, I built a tool to predict baseball player performance using linear regression while applying pandas, scikit-learn, matplotlib and postgreSQL queries

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benslack19/baseball_player_selector

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For my Insight Data Science Fellowship, I created a tool that fantasy baseball players can use to help build rosters on a daily basis. The app is built on ~400,000 player at-bats from the 2015-2019 baseball seasons and uses a linear regression model to make at-bat outcome predictions. This app was built in about 3.5 weeks.

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For my Insight project, I built a tool to predict baseball player performance using linear regression while applying pandas, scikit-learn, matplotlib and postgreSQL queries

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