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This project seeks to utilize Deep Learning models, LongShort Term Memory (LSTM) Neural Network algorithm to predict stock prices. We will use Keras to build a LSTM RNN to predict stock prices using historical closing price and trading volume and visualize both the predicted price values over time and the optimal parameters for the model.
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