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GitHub / IvanBeke / TFM

This project is my master thesis. It contains a pipeline for extracting high elo players and their matches, transforming the data and analysing it to obtain the most frequent builds for each champion and position. The results can be viewed in a web application that allows filtering by champion and positions. Also, if you are in a game, you can search for yourself to quickly access your current champion.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IvanBeke%2FTFM

Stars: 3
Forks: 0
Open Issues: 3

License: None
Language: Jupyter Notebook
Repo Size: 45.2 MB
Dependencies: 11

Created: about 3 years ago
Updated: 4 months ago
Last pushed: over 1 year ago
Last synced: 3 months ago

Topics: apriori-algorithm, big-data, data-analysis, django, etl, league-api, league-of-legends, machine-learning, master-thesis, mongodb, riot-games-api

Files
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    Readme
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    Dependencies
    scripts and notebooks/requirements.txt pypi
    web/requirements.txt pypi