Introduction to Natural Language Processing
Introduction to Natural Language Processing, available at $19.99, has an average rating of 4.2, with 14 lectures, 5 quizzes, based on 389 reviews, and has 17390 subscribers.
You will learn about Learn Basics of Natural Language Processing (NLP) Learn to use Regular Expressions to extract patterns from text Perform Text pre-processing Perform Text classification Reading and working with text data using Python This course is ideal for individuals who are Beginner Data Science Professionals interested in Natural Language Processing or Python Developers or Data Scientists It is particularly useful for Beginner Data Science Professionals interested in Natural Language Processing or Python Developers or Data Scientists.
Enroll now: Introduction to Natural Language Processing
Summary
Title: Introduction to Natural Language Processing
Price: $19.99
Average Rating: 4.2
Number of Lectures: 14
Number of Quizzes: 5
Number of Published Lectures: 14
Number of Published Quizzes: 5
Number of Curriculum Items: 19
Number of Published Curriculum Objects: 19
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn Basics of Natural Language Processing (NLP)
- Learn to use Regular Expressions to extract patterns from text
- Perform Text pre-processing
- Perform Text classification
- Reading and working with text data using Python
Who Should Attend
- Beginner Data Science Professionals interested in Natural Language Processing
- Python Developers
- Data Scientists
Target Audiences
- Beginner Data Science Professionals interested in Natural Language Processing
- Python Developers
- Data Scientists
More than 80% of the data in this world is unstructured in nature, which includes text. You need text mining and Natural Language processing (NLP) to make sense out of this data. Natural Language Processing (NLP) helps you extract insights from emails of customers, their tweets, text messages. Natural Language Processing (NLP) can power many applications, such as language translation, question answering systems, chatbots and document summarisers.
What would you learn in Introduction to Natural Language Processing (NLP) with Python course?
-
Reading and working with text data using Python
-
Learn to use Regular Expressions to extract patterns from text
-
Text pre-processing
-
Text classification
Course Curriculum
Chapter 1: Module 1 : Introduction to Natural Language Processing
Lecture 1: Welcome to the Course
Lecture 2: About the Course
Lecture 3: Introduction to Natural Language Processing
Lecture 4: Python for Data Science (Optional)
Chapter 2: Module 2: Learn to use Regular Expressions
Lecture 1: Welcome to Module
Lecture 2: Understanding Regular Expression
Lecture 3: Implementing Regular Expression in Python
Chapter 3: Module 3: First Step of NLP – Text Processing
Lecture 1: Welcome to Module
Lecture 2: Tokenization and Text Normalization
Lecture 3: Exploring Text Data
Lecture 4: Part of Speech Tagging and Grammar Parsing
Lecture 5: Implementing Text Pre-processing Using NLTK
Lecture 6: Build a Basic ML Model for Text Classification
Chapter 4: Bonus Lecture
Lecture 1: Bonus Lecture
Instructors
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Analytics Vidhya
Data Science Community
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 18 votes
- 3 stars: 83 votes
- 4 stars: 171 votes
- 5 stars: 113 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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