Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
shuffle=False)). It sets test_size=0.3 to allocate 30% of the data for testing and shuffle=False because shuffling data in time series can disrupt the temporal order. Overall, this code effectively addresses key aspects of data preparation for time series forecasting models: Scaling features to a