An R package for working with NCAA Basketball Play-by-Play Data
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Updated
May 2, 2024 - R
An R package for working with NCAA Basketball Play-by-Play Data
All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.
An R package to quickly obtain clean and tidy men's basketball play by play data.
Retrieves sports data from a popular sports website as well as from the NCAA website, with support for NBA, WNBA, NFL, NHL, College Football and mens and womens college basketball,
sportsdataverse python package
Extensive and Tidy NCAA Men's College Basketball Data
Game simulator created for NCAA basketball (Based on team possession statistics)
System for selecting optimal march madness brackets
College Basketball web scraper that pulls predicted scores from Kenpom HaslaMetrics and BartTorvik as well as betting lines from Fanduel using Selenium
Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.
Predicting College Basketball Games with Machine Learning
Free API to retrieve live scores, stats, standings, and other college sports data from ncaa.com
An R package to quickly obtain clean and tidy women's basketball play by play data.
Simple script for making a March Madness bracket using smart but random coins
The purpose of the ncaa_select_picks repository is two fold: (1) Provide Python package that those more experienced with Python may use to fill out NCAA Men's March Madness brackets who just want to fill out a bracket for fun and (2) Provide an easy to use Python notebook for anyone to use to develop their understanding of Python and algorithms.…
An R package for gathering men's NCAA basketball data.
An R package for working with NCAA Men's Basketball play-by-play data from STATS LLC's GameZone.
A project to create web based game simulators for different sports, most notably College Football and Basketball
Competition-winning Rebound Prediction Notebook
Clustering exercise of ACC basketball players to analyze "positionless basketball".
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