We propose a machine learning framework for parameter estimation of single mode Gaussian quantum states. Under Bayesian framework, our approach estimates parameters suitable prior distributions from measured data. For phase-space displacement and squeezing estimation, this is achieved by introducing Expectation-Maximization (EM) based algorithms, while phase an empirical Bayes method applied. T...