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App for identification of promising "League of Legends" e-sports players, using Deep Learning (Recurrent Neural Network).

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NienkePieters/LoL_predictleague

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LOL_predictleague

  • Description: This project was created as a final project of the Le Wagon project. It is a tool for early identification of promising e-sports players (League of Legends), consisting of a Deep Learning model (Recurrent Neural Network) and Streamlit as front-end.
  • Data Source: https://oracleselixir.com/
  • Type: RNN model
git remote add origin git@github.com:NienkePieters/LOL_predictleague.git
git push -u origin master
git push -u origin --tags

Install

Go to https://github.com/NienkePieters/LOL_predictleague to see the project, manage issues, setup your ssh public key, ...

Create a python3 virtualenv and activate it:

sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv -ppython3 ~/venv ; source ~/venv/bin/activate

Clone the project and install it:

git clone git@github.com:NienkePieters/LOL_predictleague.git
cd LOL_predictleague
pip install -r requirements.txt
make clean install test                # install and test

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App for identification of promising "League of Legends" e-sports players, using Deep Learning (Recurrent Neural Network).

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