Link to course: https://www.coursera.org/learn/bayesian-methods-in-machine-learning/
Assignment - Week 2: Deriving and Implementing EM algorithm for Gaussian Mixture Models
Assignment - Week 4: Markov Chain Monte Carlo (MCMC) using PyMC3
Assignment - Week 5: Variational Autoencoder on MNIST dataset
Assignment - Week 6: Gaussian processes and Bayesian optimization using GPy and GPyOpt
Final Project: Facial Composits using Variational Autoencoder and Gaussian Processes
Course Certificate: https://www.coursera.org/account/accomplishments/certificate/9N4DJJ4WASFQ