Deep Learning - Recurrent Neural Networks with TensorFlow - Stock Return Predictions Using LSTMs (Part 2)

The video tutorial explains the preference for predicting stock returns over stock prices, using a formula similar to calculating discounts. It details data processing with Pandas, including shifting and subtracting closing prices to calculate returns. The tutorial covers normalizing returns with a standard scaler and training an RNN model, highlighting challenges like overfitting. It concludes with model evaluation through one-step and multi-step forecasts, noting the model's limitations in learning effectively.

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