Kaggle Competition for Predicting NCAA Basketball Tourney Games
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Updated
Mar 11, 2018 - Jupyter Notebook
Kaggle Competition for Predicting NCAA Basketball Tourney Games
A Machine Learning project to predict the results of the NCAA Men's March Madness Basketball tournament.
Machine learning tutorial to create an entry for the Kaggle March Mania contest
System for selecting optimal march madness brackets
Customized data-driven bracket forecasting
Predicting 2018 March Madness Basketball games
Predicting College Basketball Games with Machine Learning
The Bracket Buster is a machine learning project with two models that predict winners in the NCAA Men's Basketball March Madness Tournament. Both utilize Gradient Boosted classification but one has additional team composition features engineered with K-Means clustering.
ELO logistic regression results NCAA March Madness 2017!
March Madness bracket written with Python, Redis, MySQL and Docker
🏀 Men and women solutions for the 2019 edition of the Kaggle March Madness competition
A package for analyzing NCAA march madness tournament data
NCAA March Madness bracket picker using D&D battle logic
Silver Medal Solution
Simple script for making a March Madness bracket using smart but random coins
Web Scraper for scraping college basketball player statistics from sports reference
Predicting the 2017 NCAA Men's Basketball Tournament with Machine Learning
Predicting March Madness results using quantile regression with train data on tournament teams from 2002-2022
CSE802 March Madness Project
A Python-based NCAA March Madness bracket simulator with AI-powered decision making, customizable initial brackets, and a user-friendly React frontend.
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