A Comprehensive Guide to NLTK in Python: Volume 1

Online Course

Udemy
A Comprehensive Guide to NLTK in Python: Volume 1

What is the course about?

A Comprehensive Guide to NLTK in Python: Volume 1
The course A Comprehensive Guide to NLTK in Python: Volume 1 is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Tokenizing Text in Python for Natural Language Processing

Course description
  • A Comprehensive Guide to NLTK in Python: Volume 1
  • You’ll understand tokenization in NLTK at a very deep level.
  • You’ll understand and more importantly be able to tokenzie any part of a corpus.
  • You’ll learn how to graphically represent arcane concepts like lemmas and synsets in NTLK.
  • You’ll receive a completed Jupyter Notebook with the complete code and annotations for the course.
  • Familiarity with Python will help you in this course.
  • An basic understanding of the terminology of machine learning would also be beneficial.
  • 1 hour on-demand video
  • 7 articles
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Mike West

Prerequisites & Facts

A Comprehensive Guide to NLTK in Python: Volume 1

Course Topic

Personal Success, Teacher Training, Teaching & Academics

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

A Comprehensive Guide to NLTK in Python: Volume 1

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
A Comprehensive Guide to NLTK in Python: Volume 1
provided by Udemy

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School: Udemy
Topic: Data Science, Development, Natural Language Processing