An R package to quickly obtain clean and tidy men's basketball play by play data.

• UpdatedMay 7, 2024
• R

ncaa basketball team level data with tourney outcomes

• UpdatedMar 21, 2019
• R

Tournament Pool and Bracket Tracker

• UpdatedDec 5, 2023
• Java

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.…

• UpdatedApr 5, 2021
• Jupyter Notebook

Data and model files to accompany the Medium article on visualizing model components to understand uncertainty in statistical models.

• UpdatedApr 5, 2021
• R

Simple script for making a March Madness bracket using smart but random coins

• UpdatedMar 19, 2025
• Python

This is a statistical program designed to analyze data from past years in order to make an accurate prediction of the outcomes of this year's NCAA Tournament.

• UpdatedNov 14, 2020
• Python

Back to basics NCAA basketball pool software implemented in pure C.

• UpdatedMar 20, 2025
• HTML

Logistic Regression model to assign probabilities of outcomes for any possible matchup in the 2022 NCAA Men's Basketball Tournament

• UpdatedMar 24, 2022
• Python

Using Kaggle data to create predictions for 2018 NCAA Men's Basketball Tournament

• UpdatedMar 16, 2018
• Python

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.

• UpdatedApr 26, 2021

A group project for BYU CS 478 to predict march madness game outcomes.

• UpdatedApr 17, 2018
• Jupyter Notebook

This project uses team ratings from KenPom.com to predict the winner of an NCAA Tournament bracket pool

• UpdatedMar 18, 2023
• HTML