Neural Networks, Deep Learning, Data Science, Algorithmic Trading, Cryptocurrency Investment.
samples = len(data) - time_steps + 1 reshaped_data = np.zeros((samples, time_steps, data.shape[1])) for i in range(samples): reshaped_data[i] = data[i:i + time_steps] return reshaped_data # Reshape the scaled X data time_steps = 1 # Adjust the number of time steps as needed X_reshaped =