Solution for the freeCodeCamp Machine Learning with Python “Rock Paper Scissors” project.
The goal is to implement player() in RPS.py and win at least 60% of games in a 1000-round match against the four provided bots.
RPS.py— myplayer()implementation (solution)RPS_game.py— game engine + opponent bots (do not modify)main.py— run matches locallytest_module.py— unit tests
python3 main.py
This is the boilerplate for the Rock Paper Scissors project. Instructions for building your project can be found at https://www.freecodecamp.org/learn/machine-learning-with-python/machine-learning-with-python-projects/rock-paper-scissors