Scraped data via BeautifulSoup to create a Linear Regression Model to Predict Total Yards Rushing and Receiving of Rookie NFL Running Backs
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Updated
Sep 23, 2020 - Jupyter Notebook
Scraped data via BeautifulSoup to create a Linear Regression Model to Predict Total Yards Rushing and Receiving of Rookie NFL Running Backs
Random forest models using TDA to predict drafted round for WRs
NFL Fantasy app (by https://brffootball.com.br/) with customized podcast
Monte carlo simulation of 2023 NFL draft based on PFF big board rankings and team needs
Predictive model and code used to determine the relationship between variables collected from each game and the number of wins for a given team in 2020.
Drafting characters from Key & Peele's East/West Bowl in Go
Predicting NFL Rookies success for capstone project
Predict if teams will take an Offensive (OFF) or Defensive (DEF) player in the 1st round of the 2021 NFL Draft
A place to store data about historical NFL draft classes
Scraping information on consensus big boards.
Completed an analysis on the relationship between the combine performance and future league performance of 941 NFL players drafted between 2015 and 2017 using R. Proved that the combine performance of NFL players has little to no correlation on future player performance using linear regression. My goal was to show that the NFL Combine should not…
7-round mock draft simulator based on position and prospect grade
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