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google-stock-price

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This project uses an LSTM (Long Short-Term Memory) model to predict Google stock prices based on historical data. The model is trained using features like 'Open', 'Close', 'High', 'Low', and 'Volume' to forecast future stock prices. The code includes data preprocessing, model training, and evaluation with visualizations.

  • Updated Feb 11, 2025
  • Jupyter Notebook

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