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A machine learning model that can decide whether an NFL team should punt, kick a field goal, or "go for it" on 4th down

License: MIT License

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data-science football-analytics machine-learning python scikit-learn sports-analytics xgboost

nfl-4th-down-ml-model's Introduction

Hi there, I'm Connor! ๐Ÿ‘‹

I'm a Meteorologist Developer with Lynker, supporting NOAA/NWS/NCEP/WPC

Check out some of my favorite projects and experiences below!

  • ๐ŸŒŠ I spent summer 2022 writing Python for NOAA/National Weather Service
    (I helped develop a nationwide replacement for a portion of RiverPro, an older portion of AWIPS)
  • โ›ˆ๏ธ I spent summer 2021 at UCAR/Unidata contributing to MetPy
    (My largest contribution was the PlotGeometry class, which allows users to plot GeoJSON/Shapefile data on maps in MetPy)
  • ๐Ÿˆ I helped create a machine learning model that chooses the optimal 4th down play for NFL teams
  • ๐ŸŒ€ I created a neural network that estimates a hurricane's wind speed based on its satellite image
  • ๐Ÿฆ  I made a COVID-19 dashboard used at the College of Charleston

I also keep a list of all of my contributions to open source.

nfl-4th-down-ml-model's People

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