Class Project Pac Man

The video tutorial guides viewers through creating a Pacman game using decision trees. It starts with setting up the project and defining labels for movement directions. Data is collected based on Pacman and Ghost movements, which is then used to train a model. The trained model allows Pacman to play autonomously, avoiding Ghosts. The tutorial concludes with an analysis of the decision tree that guides Pacman's decisions.

What is the significance of the labels 'left', 'right', 'up', and 'down' in the project?

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Explain how the training of PAC Man is conducted and its expected outcome.

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What role does the machine learning block play in the PAC Man project?

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