Predicting 2018 March Madness Basketball games
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Updated
Mar 21, 2022 - R
Predicting 2018 March Madness Basketball games
Python script to scrape March Madness scores from FiveThirtyEight and tweet when Purdue takes the lead
Web Scraper for scraping college basketball player statistics from sports reference
Take any number of matchups and determine all possible outcomes.
Small shareable encoding for single-elimination tournament brackets (e.g. march madness)
This project looks to try to predict March Madness success and regular season results regarding wins. Use the data given, or follow the link in the read me, follow the steps, and test the model to see how well it compares to the actual results.
Python script to scrape FiveThirtyEight's March Madness excitement index and tweet when the index exceeds a certain threshold
Model for 2019 March Madness, 37th place on Kaggle + Google Cloud & NCAA ML Competition 2019
NCAA March Madness bracket picker using D&D battle logic
The best March Madness bracket predictor this side of the Mississippi.
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.
Predicting March Madness results using quantile regression with train data on tournament teams from 2002-2022
Developed predictive models using R and Python to determine the winners of the NCAA March Madness Competition
🏀 Men and women solutions for the 2019 edition of the Kaggle March Madness competition
Customized data-driven bracket forecasting
A Python-based NCAA March Madness bracket simulator with AI-powered decision making, customizable initial brackets, and a user-friendly React frontend.
CSE802 March Madness Project
A HipChat bot for March Madness.
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