A Set of Functions to Efficiently Scrape NFL Play by Play Data
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Updated
Nov 9, 2024 - R
A Set of Functions to Efficiently Scrape NFL Play by Play Data
Python wrapper for the MySportsFeeds Sports Data API
NFL Database Engine for PostgreSql and Mongo (easily works with other custom databases too)
A set of functions to visualize National Football League analysis in 'ggplot2'
"Python web scraping for NFL stats from the official website for the 2023 season, covering multiple categories."
A Python program for creating weekly power rankings for ESPN Fantasy Football leagues. Also includes source code for the ESPN Fantasy Explorer, an interactive visualization tool for public fantasy football leagues. NOTE: Website currently unavailable due to ESPN Fantasy Football platform overhaul.
Using FiveThirtyEight, Masseyratings, Sportline data on NFL winners combined with SCIKIT machine learning to predict the winner of a NFL GAME
Welcome to the Custom-Fantasy-Projections repository! This personal project aims to provide a way to make your own custom fantasy projections using R and Microsoft Excel. Whether you're an analyst, a fan fantasy football, or a data enthusiast, this repository aims to allow you to create a template for your own custom fantasy projections.
Unofficial search for NFL players via the official NFL search
NFL Statsbot tweets NFL statistics for teams and players since 1999.
A reinforcement learning approach to developing an optimal policy for NFL offensive playcalling
web scrape performed for Kaggle dataset.
Python API Wrapper for NFL Statistics and Related Subject-matter
A textual analysis of public NFL scouting reports
American Football match winner prediction artificial intelligence
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