In this project, Long Short-Term Memory (LSTM) neural networks are combined with feature selection techniques to improve stock price prediction. The model utilizes past stock data and relevant features, filtered through feature selection methods, to make more accurate predictions, ensuring that only the most impactful variables are used in the prediction process.
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