Riot API Challenge hackathon project for predicting the winner of the URF match.
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RiotChallengeWeb
.gitignore
Definitions.py
LICENSE
README.md
Readme.docx
TeamFeatures.py
features.py
features_test_1.tsv
features_train_1.tsv
games.tsv
get_games.py
get_matches.py
matches.tsv
riot.txt

README.md

Please see Readme.docx for complete details and explanations.

##Author Alexander Popov a-popov@outlook.com NA: HungryHungryDuck GitHub: https://github.com/alexiip/lolapichallengepredict

##Summary: This project is an app for predicting the winner of an ongoing URF (or less accurately, normal) match in real-time. At the core of the project is a Machine Learning model built using Two-Class Boosted Decision Tree for predicting if the player will win or lose her current match. The project also contains a demo web app to demonstrate how the scoring is done in real time.

##Demo: The demo web app can be found here: http://lolapichallengepredict.appspot.com/