There are 3 repositories under ncaa-basketball topic.
An R package to quickly obtain clean and tidy men's basketball play by play data.
A simple yet comprehensive web scraper for kenpom.com.
All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.
System for selecting optimal march madness brackets
An R package to quickly obtain clean and tidy women's basketball play by play data.
Scrapes scores for any season of college basketball.
College Basketball web scraper that pulls predicted scores from Kenpom HaslaMetrics and BartTorvik as well as betting lines from Fanduel using Selenium
Use this python3.5 project to scrape all NCAA mens basketball boxscores from an inputted day and save to csv
ncaa basketball team level data with tourney outcomes
An R package for gathering men's NCAA basketball data.
:basketball: Men and women solutions for the 2019 edition of the Kaggle March Madness competition
Tournament Pool and Bracket Tracker
Silver Medal Solution
Data and model files to accompany the Medium article on visualizing model components to understand uncertainty in statistical models.
My personal website
Simple script for making a March Madness bracket using smart but random coins
An R Shiny dashboard application to track the 2021-22 Kansas men's college basketball season
Back to basics NCAA basketball pool software implemented in pure C.
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. This may be used in a classroom or at an individual level. I encourage people to adapt this to other playoff brackets of other sports!
Clean march madness data for those who dabble in sports statistics but can't be bothered to reformat the NCAA's illogical score archives
Kaggle's NCAA® ML Competition March Madness Competition presents a challenge to forecast the outcomes of all possible matchups in the Men’s and Women's Basketball Championships.
Shiny App showing ever teams trend in wins over the years, as well as shows every teams seed(1-16) for the march madness tournaments
:robot: This bot updates subscribers after each men's NCAA March Madness game. Each update includes (1) the game's final score and (2) the standings of the group's Yahoo Fantasy bracket.
Using Machine Learning to predict the winner of NCAA Men's March Madness given statistics from previous games and seasons. Compares hand built Linear Perceptron and kNN algorithms to pre-made sklearn perceptron and kNN packages.
And Elo rating system for NCAA men's basketball teams for the 2020-2021 season.
Advanced stats and shoddy writting.
NCAA bracket prediction based on previous year's data