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freeCodeCamp Machine Learning Rock Paper Scissors challenge solution (Python)

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Rock Paper Scissors (freeCodeCamp)

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.

Files

  • RPS.py — my player() implementation (solution)
  • RPS_game.py — game engine + opponent bots (do not modify)
  • main.py — run matches locally
  • test_module.py — unit tests

Run

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

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freeCodeCamp Machine Learning Rock Paper Scissors challenge solution (Python)

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