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TEAM
Applied Neural Networks
Deven Gill, Ajay Aryan, Dionel Jaime

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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