DLSEI 3.0 Cohort 3 registration has been closed.

Text Generation with Markov Chains in Python

Included with DLSEI 3.0

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

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Guided project Level

Recommended experience

2.00 Hours

Learn at your own pace

Computer Science

Domain

About this guided project

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.

What skills will you gain?

Markov Model

Time Series Analysis and Forecasting

Predictive Modeling

Probability & Statistics

Predictive Analytics

Statistical Modeling