Skip to content

Latest commit

 

History

History
19 lines (13 loc) · 791 Bytes

README.md

File metadata and controls

19 lines (13 loc) · 791 Bytes

League_of_legends_Analysis

Machine learning algorithms to predict game outcomes based on the League of Legends dataset from a League of Legends diamond dataset.

Installation

  1. Clone this rep

  2. Install pipenv with pip install pipenv

  3. In the root directory run pipenv install

To Run

  1. Run pipenv shell to activate the virtual environment or pipenv run [COMMAND] where "[COMMAND]" is the desired python command from below.

  2. Run python -m league_analysis [arg] from root dir. "[arg]" is the name of the action to perform, in order to run the regression models use the command python -m league_analysis regression

Sources

LoL dataset