Your task is to use tensorflow to train a model on theFD001sub-data-set that can take a time series of shape(1, num_time_steps, num_variables)and predict the number of remaining cycles in the remaining useful life (RUL) of the engine before it fails. The input variables for the model should be as follows:['T24', 'T30', 'T50', 'P30', 'Nf', 'Nc', 'Ps30', 'phi', 'NRf', 'BPR', 'htBleed', 'W31', 'W32'].

Dataset: https://www.kaggle.com/behrad3d/nasa-cmaps