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This project analyzes data created by training an RL machine learning algorithm to play a simulation of blackjack. The website will allow the user to play blackjack, provide statistics for win probability of the current hand, and provide a recommendation for what move should be made next. There is further analysis documenting the optimal strateg…

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Austin-Potts/Blackjackbot5000

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Black Jack & Machine Learning

Application & Presentation Website:


Repositories:


Group team members:

  • Austin Potts
  • Chris Armstrong
  • Joey Picca
  • Lance Westlake
  • Ming Gao
  • Shane Gatenby

Key Files:

  1. Reinforcement Learning:
  2. Tableau/Visualization:
    • BlackJack Outcome Viz.twb
    • RL_models_v3.twb
    • EDA Desktop View.twbx
  3. Webpage/Presentation/Application:


About

This project analyzes data created by training an RL machine learning algorithm to play a simulation of blackjack. The website will allow the user to play blackjack, provide statistics for win probability of the current hand, and provide a recommendation for what move should be made next. There is further analysis documenting the optimal strateg…

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