<ul><li>Time series forecasting using deep learning, specifically LSTMs, has been employed to predict Bitcoin prices.</li><li>The author used minute-level Bitcoin price datasets from Coinbase and Bitstamp for training the model.</li><li>The TensorFlow tf.data.Dataset API was utilized to efficiently load and preprocess the data for modeling.</li><li>The LSTM-based deep learning model achieved a Mean Absolute Error of $50-$70, indicating a promising start in predicting Bitcoin prices.</li></ul>

How I Used Deep Learning to Predict Bitcoin Prices

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