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TEAM

Applied Neural Networks

Deven Gill, Ajay Aryan, Dionel Jaime

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Stock Price Prediction:
Objective: To build a neural network model that predicts stock prices based on historical data.
Dataset: Historical stock price data including trading volume, company financials, and macroeconomic indicators for a specific company (AAP was used but any company could be used).

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