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About the course

There is a surplus of data all around us, but according to industry estimates, only 21% of the available data is present in structured form where information is directly accessible without processing. Organizations today deal with huge amount and wide variety of data: calls from customers, their emails, tweets, data from mobile applications and what not. It takes a lot of effort and time to make this data useful. One of the core skills in extracting information from text data is Natural Language Processing (NLP).

Natural Language Processing (NLP) is the art and science which helps us extract information from text and use it in our computations and algorithms. NLP can power many applications, such as language translation, question answering systems, chatbots and document summarizers. Given the increase in content on internet and social media, it is one of the must have skill for all data scientists out there.

This course is designed for people who are looking to get into the field of Natural Language Processing. It provides you everything you need to know to become an NLP practitioner.

Pre-requisites

As this is a more practical and advanced course, it is required that you have a good grasp on the basics of Machine Learning. Also, familiarity of Python language is an added benifit (although this will be taught in the course)

Highlights

  • 3 Real Life Projects

  • Live Q & A Session

    Every Thursday 9 pm to 10:30 pm IST (Starts 31st Jan

Course curriculum

  • 1
    Module 1 : Introduction to Natural Language Processing
    • Getting Started
    • Welcome to the Course
    • About the Course FREE PREVIEW
    • Introduction to Natural Language Processing
    • Exercise : Introduction to Natural Language Processing
  • 2
    Module 2 : A Refresher to Python
    • Setting up the system
    • Anaconda/Conda Installation
    • Packages Installation
    • Introduction to Python
    • Variables and Operators
    • Exercise : Variables and Operators
    • Python Lists
    • Exercise : Python Lists
    • Dictionaries
    • Exercise : Dictionaries
    • Conditional Statements
    • Exercise : Conditional Statements
    • Loops
    • Exercise : Loops
    • Functions
    • Exercise : Functions
    • Packages
    • Exercise : Packages
    • Files
    • Exercise : Files
    • Feedback for the module
  • 3
    Module 3 : Learn to use Regular Expressions
  • 4
    Module 4 : First Step of NLP - Text Processing
    • Welcome to Module
    • Understanding Text Pre-processing Part 1
    • Exercise : Understanding Text Pre-processing Part 1
    • Understanding Text Pre-processing Part 2
    • Exercise : Understanding Text Pre-processing Part 2
    • Implementing Text Pre-processing Using NLTK
    • Exercise : Implementing Text Pre-processing Using NLTK
    • Feedback for the module
  • 5
    Module 5 : Extracting Named Entities from Test