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  • Mesh-AI
  • London

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  1. Monte-Carlo-Control-Finding-the-Optimal-Policy-for-Blackjack Monte-Carlo-Control-Finding-the-Optimal-Policy-for-Blackjack Public

    Interacting with the blackjack environment from OpenAI gym. We will write our own Monte Carlo Control implementation to find an optimal policy to solving blackjack. The code and theory has been lea…

    Jupyter Notebook 2

  2. object-detetection-using-opencv object-detetection-using-opencv Public

    Example code to detect objects via images and your webcam

    Python 1 8

  3. Q-learning-to-solve-OpenAI-Gyms-Taxi-v2 Q-learning-to-solve-OpenAI-Gyms-Taxi-v2 Public

    This project focuses on using Q-learning, a temporal difference learning approach to solving an OpenAI-Gym task.

    Python 1

  4. Survey-Analysis---Powered-by-Unsupervised-Learning Survey-Analysis---Powered-by-Unsupervised-Learning Public

    Gain insights from the surveys submitted by your customers. The unsupervised learning algorithm will determine common groups that exists from your customer base. feedback responses

    Jupyter Notebook