owensharpe Goto Github PK
Name: Owen Sharpe
Type: User
Bio: I am currently an enrolled student at Northeastern University (Class of 2027). My major is Data Science and Mathematics under a Bachelor of Science.
Location: Boston, Massachusetts
Name: Owen Sharpe
Type: User
Bio: I am currently an enrolled student at Northeastern University (Class of 2027). My major is Data Science and Mathematics under a Bachelor of Science.
Location: Boston, Massachusetts
**WORK IN PROGRESS** This project aims to gather data from Pro Football Reference, a comprehensive football statistical database, and conduct analytical and visual analysis to uncover intriguing trends within player performance metrics. This project will enhance our understanding of statistical trends in professional football.
What is the relationship between the infant mortality rate and other demographic factors such as Gross Domestic Product per Capita (GDP per capita), and how has this relationship evolved?
**Credit to Dataquest** Welcome to the NBA Game Predictor repository, where data scraping meets predictive analytics for NBA enthusiasts and data science aficionados alike! This project leverages Python to scrape real-time NBA statistics from Basketball Reference, harnessing the power of data to predict game outcomes.
This project aims to gather data from Basketball Reference, a comprehensive basketball statistical database, and provide visual analysis to understand how NBA awards are determined. From there, using machine learning, the awards for this upcoming NBA season will be predicted.
**Credit to Dataquest** This project provides a Python script for scraping football data from FBRef using BeautifulSoup and Pandas. The scraped data is intended for predicting English Premier League (EPL) matches. The project is currently halted do to FBRef web-scraping bots.
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