NCAA bracket prediction based on previous year's data
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Updated
Mar 15, 2018 - Python
NCAA bracket prediction based on previous year's data
Advanced stats and shoddy writting.
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.
My personal website
Using Kaggle data to create predictions for 2018 NCAA Men's Basketball Tournament
Shot quality plots for NCSU's WBB team
Use this python3.5 project to scrape all NCAA mens basketball boxscores from an inputted day and save to csv
🤖 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.
🏀 Men and women solutions for the 2019 edition of the Kaggle March Madness competition
Back to basics NCAA basketball pool software implemented in pure C.
Data and model files to accompany the Medium article on visualizing model components to understand uncertainty in statistical models.
Machine learning application for NCAA basketball game predictions
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
Silver Medal Solution
Using multivariate analysis of variance and K-means clustering
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