Neural Networks, Deep Learning, Data Science, Algorithmic Trading, Cryptocurrency Investment.
the same length, which is necessary for further processing. Finally, the data is split into training and testing sets using the train_test_split function from scikit-learn. Since the data is time series data, it is split without shuffling to maintain the temporal order. Transformer model for Neural