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League-AI

League AI

Description

This project uses PyTorch to create and train a neural network that predicts the results of League of Legends games

How it works

First, we used urllib to scrape data from the website OP.GG which hosts publicly available League of Legends match data. We then used regular expressions and the pandas library in order to clean and process the data in order to train our binary classification model (utilizing PyTorch).

Credits

Made by Kaviraj Gaire and Lawrence Fu

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