ncaa-basketball
There are 38 repositories under ncaa-basketball topic.
sportsdataverse/hoopR
An R package to quickly obtain clean and tidy men's basketball play by play data.
j-andrews7/kenpompy
A simple yet comprehensive web scraper for kenpom.com.
lbenz730/NCAA_Hoops
All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.
sportsdataverse/wehoop
An R package to quickly obtain clean and tidy women's basketball play by play data.
danvk/march-madness-data
NCAA brackets in JSON form
dlm1223/march-madness
System for selecting optimal march madness brackets
dcstats/CBBpy
A Python-based web scraper for NCAA basketball.
fattmarley/cbbscraper
College Basketball web scraper that pulls predicted scores from Kenpom HaslaMetrics and BartTorvik as well as betting lines from Fanduel using Selenium
kurtawirth/ncaahoopsscraper
Scrapes scores for any season of college basketball.
cfisher5/daily-ncaa-boxscores
Use this python3.5 project to scrape all NCAA mens basketball boxscores from an inputted day and save to csv
mkearney/ncaa_bball_data
ncaa basketball team level data with tourney outcomes
dhutexas/collegehoops
An R package for gathering men's NCAA basketball data.
DSchof1/CBB-Stats
College Basketball predictor
MaxHalford/kaggle-march-madness-2019
:basketball: Men and women solutions for the 2019 edition of the Kaggle March Madness competition
AveryRegier/bracket-tracker
Tournament Pool and Bracket Tracker
horlar1/Kaggle-NCAA-Women-2019-competition
Silver Medal Solution
JakeUrban/mlhoops
Machine learning application for NCAA basketball game predictions
dhutexas/finding_upsets
Data and model files to accompany the Medium article on visualizing model components to understand uncertainty in statistical models.
flynneva/flynn-labs
My personal website
jack-epstein/march_madness_coinflips
Simple script for making a March Madness bracket using smart but random coins
malcolmgaynor/Home-court-advantage-in-NCAA-basketball
Using multivariate analysis of variance and K-means clustering
morrisLuke/kansas_basketball_dashboard
An R Shiny dashboard application to track the 2021-22 Kansas men's college basketball season
seifertd/tournament3
Back to basics NCAA basketball pool software implemented in pure C.
The-Geology-Guy/ncaa_select_picks
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!
apurva-modi/marchmadness
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.
ConnorKerr/NCAA_MBB_2013-2019
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
ericrdrew/WBB-Analytics
Shot quality plots for NCSU's WBB team
IvoVillanueva/IvoNcaaR
NCAA teams and leagues logos for R
mike-taylor99/MLMB
Machine Learning on Men's Basketball
nmfretz/whatsapp-bot-march-madness
: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.
Sonzie/ML-Basketball
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.
stvsmth/kenpom
Scrape KenPom NCAA basketball for display of basic data
williamhuls/TheMinerLeague_MarchMadness
And Elo rating system for NCAA men's basketball teams for the 2020-2021 season.
j-andrews7/Cards-Data-Visualizations
Advanced stats and shoddy writting.
MBJR1986/sports_ML
Repo for machine learned sports prediction