How can I find the Bayesian network (of a survey data that I have) using python. I am planning to use the pgmpy library and test different structure learning algorithms (like: PC, Hill climbing, Tabu, K2.....) to find the network and dependencies of the variables. Can someone help me on how to start with that.
Bayesian Network Python
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The bnlearn library can be useful in this case. There are many examples and a Colab notebook notebook. Disclaimer: I am the author of this library.
You could also try pyAgrum (https://agrum.gitlab.io, https://pyagrum.readthedocs.io). Many notebooks can be found from http://webia.lip6.fr/~phw/aGrUM/docs/last/notebooks/.