This is example of weather prediction model using Markov chain
" it is a process for which predictions can be made regarding future outcomes based solely on its present state and—most importantly—such predictions are just as good as the ones that could be made knowing the process's full history. "
Ravissement (More Detail information)
Pomegranate (More Detail information)
: pomegranate is a Python package that implements fast and flexible probabilistic models ranging from individual probability distributions to compositional models such as Bayesian networks and hidden Markov models.
https://wikidocs.net/130821 (Harvard University AI with Python lecture notes)