Hidden-Markov-Models

• SEO and Bounce Rate Optimization
  Applying Markov models to analyze user navigation behavior on websites. Helps estimate bounce probabilities and optimize user flow: sites.ipynb.

• 2nd-Order Language Model
  Building and training a second-order Markov model to generate realistic phrases. Demonstrates how state memory enhances text generation: whitman.ipynb .

• Google’s PageRank Algorithm
  Implementation of the classic PageRank algorithm using Markov chains to rank webpages based on link structure: pagerank_algorithm.py .