Natural Language Processing

COURSE INTRODUCTION

The Natural Language Processing course gives you a detailed look at the science of applying machine learning algorithms to process large amounts of natural language data. NLP is driving the growth of the AI market, and this course helps you develop the skills required to become an NLP professional.

KEY FEATURES

  • Industry-recognized course completion certificate

COURSE OBJECTIVES

After completing this course, students will be able to:

  • Learn how to perform text processing and find a pattern
  • Find the most relevant document by applying TF-IDF
  • Write a script for applying parts-of-speech and extraction on focus words
  • Create your own NLP module
  • Classify the cluster for articles
  • Create a basic speech model
  • Convert speech to text

AUDIENCE

  • Data scientists
  • Analytics managers 
  • Data analysts
  • Data engineers
  • Data architects

PREREQUISITE

Learners who attend this course should have a basic understanding of:

  • Math and statistics
  • Data science  
  • Machine learning

COURSE CONTENT

Section 1 - NLP Overview (Self Learning)

  • Lesson 1 Working with Text Corpus
  • Lesson 2 Processing Raw Text with NLTK
  • Lesson 3 A Practical Real World Example of Text Classification
  • Lesson 4 Finding Useful Information from Piles of Text
  • Lesson 5 Developing a Speech to Text Application Using Python

Section 2 -NLP (Live Classes)

  • Lesson 1 - Introduction to NLP
  • Lesson 2 - Feature Engineering on text data
  • Lesson 3 - Natural Language Understanding techniques
  • Lesson 4 - Natural Language Generation
  • Lesson 5 - NLP Libraries
  • Lesson 6 - NLP with Machine Learning and Deep Learning
  • Lesson 7 - Speech recognition techniques
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