Welcome to the Rock-Paper-Scissors AI project! This project is a simple implementation of a machine learning model that plays the classic game of Rock-Paper-Scissors. The model is trained on a dataset of boolean representations of rock, paper, and scissors. The goal of this project is to showcase the basic principles of classification using machine learning in an unconventional way.
- Trained on a dataset of boolean representations of rock, paper, and scissors
- Classifies input into rock, paper, or scissors
- Built using C# and Visual Studio
- Uses a unique approach to machine learning, using boolean values for bias and weight
- Visual Studio
- C#
Open the solution file in Visual Studio Build and run the project Note: You can also use your own dataset to train the model by replacing the existing dataset with your own.
I am confident that my skills and experience make me a strong candidate for this job. I would love the opportunity to discuss my qualifications further and learn more about the position.