Using champion mastery data from Rot games API to visualize champion connections based on correlation metrics of compositional data in a network. Unsupervised learning was also used to categorize the champions. Lastly, weighted graph distance was used to make a recommender system for new champions based on played chamoions input.
HTMLMIT
Leverage RiotAPI to visualize champion clusters based on player preferences.
The goal of this project is to explore and visualize the character/champion preferences of league of legends players, create a visualization and a recommender system based on most played champs of a player.