Deep Learning, Data Science, Blockchain, Technology, Bitcoin.
as np X_train = [] y_train = [] X_test = [] for i in range(90,training_set_scaled.size): X_train.append(training_set_scaled[i-90:i, 0]) y_train.append(training_set_scaled[i, 0]) X_train, y_train = np.array(X_train), np.array(y_train) for i in range(90,inputs.size): X_test.append(inputs[i-90:i, 0])