Computational tools for NFL data
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Updated
Sep 29, 2017 - Mathematica
Computational tools for NFL data
🏈📦 Simple wordpress plugin to provide a visual overview of the national footbal league (U.S.A) teams.
Looking into Player Prop trends in the NFL
An analysis of Fantasy Football Data for a unique scoring technique.
Study on NFL Concussions prior to 2016 NFL Concussion Protocol using R.
Deploy, Manage and Share Apps with the world, directly from Streamlit.
Bayesian prediction of NFL scores
Ruby app - playing around with data scraping. currently working with fantasy football rankings
A python program that uses web scraping to pull the passer rating of the top 25 quarterbacks in the NFL, shows the user the top 5 and gives the user the option to save the list to a CSV file.
This analysis covers RB performance throughout a 10 year period (2012-2021). The purpose is to explore the possibility that the Running Back position is diminishing in both the NFL and Fantasy Football
My final project for a Machine Learning course exploring if daily fantasy salary data can be exploited to identify profitable opportunities for sports gambling.
The following file contains my data science project which I completed along with three other teammates,, investigating how various external factors impact NFL offensive performance of teams. In the file "Fallproject", you will find the code, as well as the final report of this project.
This repository will include data on the NFL in which I will take a deep dive into data about the games, Jupyter Notebook and Python will be used in this repository.
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