Text Generation with Markov Chains in Python

Offered By
In this Guided Project, you will:

l​earn about Markov chains and apply this concept to modeling and generating text.

1 hour
Intermediate
No download needed
Split-screen video
English
Desktop only

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.

Skills you will develop

  • Artificial Intelligence (AI)

  • Probability Theory

  • Python Programming

  • Numpy

  • Markov Chain

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Read text from file

  2. Build a transition probability matrix

  3. Generate text using a Markov chain

  4. Improve capitalization, punctuation and spacing

  5. Improve text generation with k-token Markov chains

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

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Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.

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