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Using a simulator, training data is captured by driving around a track. Behavior cloning is performed and then tested within the simulator
Using machine learning and feature data of past video games, the model can predict the potentail revenue generated by a particular game.
A computer vision based lane detection project for autonomous driving
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.
Classifies traffic signs using Tensorflow and a convolutional neural network.
Uses HOG to detect vehicles in a video stream.
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