Detecting Biases in College Football Recruiting (Spring - 2021)

Description

College football recruiting is big business. This project aims to build and analyze a comprehensive college football recruiting dataset, to help determine if there are biases in who and how college football coaches recruit players. This data set will combine college football recruiting data from the web with census and other socioeconomic data, to search for patterns in where and how college football coaches recruit players.

Students

• Manasi Godse

• Jackie Fan

• Yash Gupta

• Rehan Ahmed

• Jiahang Song

Advisors

• Jeremy Abramson

Skills Required by the team

• Python
• APIs
• Databases
• Web Scraping
• SQL
• NoSQL