Solution: Create and Train a Bayesian Network

Explore how to simulate data and train a Bayesian network using Python. This lesson guides you through defining dataset size, adjusting probabilities, generating random variables, training the model, and running baseline queries. You will learn to execute and interpret key steps essential for building and querying Bayesian networks effectively.