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TEAM
Applied Neural Networks
Deven Gill, Ajay Aryan, Dionel Jaime
![clear.png](https://static.wixstatic.com/media/55f531_b9f3f13ce3aa4af78af2cc6d3563b81b~mv2.png/v1/fill/w_3,h_3,al_c,lg_1,q_85,enc_auto/clear.png)
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).
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/a994932411404ef3bb797ba005125f5d.png)
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/a994932411404ef3bb797ba005125f5d.png)
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/a994932411404ef3bb797ba005125f5d.png)
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