adeshpande3/March-Madness-2017
Kaggle Competition for Predicting NCAA Basketball Tourney Games
This helps basketball enthusiasts and sports analysts predict outcomes for the NCAA Men's Basketball Tournament, commonly known as March Madness. It takes historical game data and team statistics to generate predictions for future tournament matchups. This is for anyone who enjoys filling out a bracket and wants a data-driven edge, from casual fans to serious sports bettors.
No commits in the last 6 months.
Use this if you want to apply data science and machine learning techniques to predict the winners of March Madness tournament games.
Not ideal if you're looking for a tool that covers a wide range of sports or delivers real-time odds and betting lines for multiple leagues.
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72
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Language
Jupyter Notebook
License
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Category
Last pushed
Mar 11, 2018
Commits (30d)
0
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