This repository holds the winning submission for a 2020 Google Cloud & NCAA® March Madness Analytics Competition.
Each season there are thousands of men's and women's NCAA® basketball games played between Division I teams, culminating in March Madness®, the national championship tournaments that start in the middle of March [1]. The men's and women's NCAA basketball tournaments are beloved American sports traditions. These are single-elimination tournaments, which means that the championship team has to win at least six games in a row to claim the title. This high-stakes environment — plus the chance to witness a crazy "Cinderella-story" upset, gives the tournament its March Madness® nickname [4].
The challenge of the "Google Cloud & NCAA® March Madness Analytics" competition, sponsored by Google Cloud and hosted by Kaggle, was to present an exploratory analysis of the March Madness® using a Kaggle Notebook.
Please refer to PROJECT REPORT for a high-level overview of the project.
No software installation is needed to view the final report. Jupyter Notebook was used to prepare the submission.
Full list of references is available in the project report.
The competition entry Notebook has been released under the Apache 2.0 open source license.