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Natural Language Processing (NLP) with Python and NLTK

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  • 1,172 Students
  • Updated 1/2020
  • Certificate Available
4.5
(41 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 32 Minute(s)
Language
English
Taught by
Abhishek Kumar
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.5
(41 Ratings)
1 views

Course Overview

Natural Language Processing (NLP) with Python and NLTK

Master Natural Language with Python and NLP using Spam Filter detection

Natural Language Processing or NLP is a very popular field and has lots of applications in our daily life. From typing a message to auto-classification of mails as Spam or not-spam NLP is everywhere.

NLP is a field concerned with the ability of a computer to understand, analyze, manipulate and potentially generate human language. In this course we study about NLP and use the NLP toolkit or NLTK in Python.

The course contains following:

  • Introduction to NLP and NLTK

  • NLP Pipeline

  • Reading raw data

  • Cleaning and Pre-processing

  • Tokenization

  • Vectorization

  • Feature Engineering

  • Training ML Algorithm for Classifying Spam and non-spam messages

This course would be very useful for Applied Machine Learning Scientists and Data Scientists who are working on NLP/NLU.

Course Content

  • 5 section(s)
  • 26 lecture(s)
  • Section 1 Introduction
  • Section 2 Reading and Cleaning Data
  • Section 3 Vectorizing Data
  • Section 4 Feature Engineering
  • Section 5 Building Machine Learning Classifier

What You’ll Learn

  • Natural Language Processing using Python


Reviews

  • R
    Ravikumar S Gampala
    3.0

    Instructor needs to spell the words clearly and completely (slow down a bit). Otherwise, very well organized and instructed course.

  • V
    VISHAL KHANNA KADABOINA
    5.0

    reaching my expectations

  • A
    Ash masadeh
    3.5

    too simple and lots of repetitions so far .. i hope we will learn something deep

  • J
    John May
    5.0

    Very organized - easy to follow. I understood the material

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