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This project predicts Bitcoin prices using an LSTM neural network, which is designed to analyze time-series data. The model is trained on historical Bitcoin prices and market indicators to forecast future trends. It includes data preprocessing, model training, and evaluation using Python libraries like TensorFlow and Pandas.
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