A python project on using machine learning to predict ranked match outcomes in League of Legends. Most methods are documented in their respective files.
DataManager.py - Collects data through Riot and Champion.gg's APIs and sets up features.
Models.py - Contains model variables for use in grid search.
Grid_search.py - The bulk of our project. Performs grid search and saves models, generates feature and model scores, plots model performance.
Predict.py - Unfinished.
Report.pdf - The project report