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Challenge: Time Series Forecasting with LSTM

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Define the TimeSeriesPredictor class, completing its __init__ method to set up the nn.LSTM and nn.Linear layers, and implement its forward method to process input sequences and output a prediction.
Instantiate the TimeSeriesPredictor model, then define the nn.MSELoss criterion and torch.optim.Adam optimizer.
Implement the training and evaluation loops, including forward and backward passes, parameter updates, and loss calculation.

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Section 3. Chapter 5

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