Data Science: Natural Language Processing (NLP) in Python

Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis.

Beginner 0(0 Ratings) 0 Students Enrolled English
Created by Andrea Jermin
Last updated Thu, 03-Aug-2023
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Course Overview

After a brief discussion about what NLP is and what it can do, we will begin building very useful stuff. The first thing we'll build is a cipher decryption algorithm. These have applications in warfare and espionage. We will learn how to build and apply several useful NLP tools in this section, namely, character-level language models (using the Markov principle), and genetic algorithms.

What will i learn?

  • Write your own cipher decryption algorithm using genetic algorithms and language modeling with Markov models
Requirements
  • Know how to install numerical libraries for Python such as Numpy, Scipy, Scikit-learn, Matplotlib, and BeautifulSoup
Curriculum for this course
0 Lessons 00:00:00 Hours
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About Instructor

Andrea Jermin

Andrea is the instructor of some of the highest rated programming and technical courses online.

2 Reviews | 10 Students | 57 Courses
Web development
 She is now the founder of ZTM Academy which is one of the fastest growing education platforms in the world. ZTM Academy is known for having some of the best instructors and succes...
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