Markov Chains Clearly Explained! Part - 1

Markov Chains Clearly Explained! Part - 1 introduces Markov chains as models where the next state depends only on the current one, explains transition probabilities and random walks, and shows how to compute the stationary distribution using linear algebra and eigenvectors.