Text Generation with Markov Chains in Python

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Text Generation with Markov Chains in Python provided by Coursera is a comprehensive online course, which lasts for 1 hour of material. Text Generation with Markov Chains in Python is taught by Daniel Romaniuk. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • In this project-based course, you will learn about Markov chains and use them to build a probabilistic model of an entire book’s text. This will be done from first principles, without libraries.

    Markov chains are a simple but fundamental approach to modeling stochastic processes, with many practical applications. By the end of this project, you will have generated a random new text based on the book you modeled, using code you wrote in Python.