Text Generation with Markov Chains in Python
Offered By: Coursera Project Network via Coursera
Course Description
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.
Syllabus
- Project Overview
- Here you will describe what the project is about...give an overview of what the learner will achieve by completing this project.
Taught by
Daniel Romaniuk
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