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  1. Using a simulator, training data is captured by driving around a track. Behavior cloning is performed and then tested within the simulator

    Python 1

  2. Using machine learning and feature data of past video games, the model can predict the potentail revenue generated by a particular game.

    Python 1

  3. A computer vision based lane detection project for autonomous driving

    Jupyter Notebook

  4. Uses dataset of reviews/ratings to determine the top restaurant. A correlation based approach is then used to provide alternatives to the top rated restaurant.

    Python

  5. Classifies traffic signs using Tensorflow and a convolutional neural network.

    HTML

  6. Uses HOG to detect vehicles in a video stream.

    Jupyter Notebook

738 contributions in the last year

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Contribution activity

August 2020

15 contributions in private repositories Aug 3 – Aug 7

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