Natural Language Processing: NLP In Python with 2 Projects

Rating 4.58 out of 5 (175 ratings in Udemy)

What you'll learn

Get to learn about different Applications of NLP in real world.
Learn different Text Processing Techniques used in NLP.
Learn how to Clean a Text Dataset.
Learn to Extract Features from a Text Dataset.
Learn how to Visualize the Text Data.
Learn about different Text Extraction Techniques.
Learn about Bag of Words and TF-IDF Algorithms.
Learn about N Grams Analysis.
Learn to perform Text Classification using Machine …

Rating 4.58 out of 5 (175 ratings in Udemy)

What you'll learn

Get to learn about different Applications of NLP in real world.
Learn different Text Processing Techniques used in NLP.
Learn how to Clean a Text Dataset.
Learn to Extract Features from a Text Dataset.
Learn how to Visualize the Text Data.
Learn about different Text Extraction Techniques.
Learn about Bag of Words and TF-IDF Algorithms.
Learn about N Grams Analysis.
Learn to perform Text Classification using Machine Learning Algorithms.
Learn to use the Naïve Bayes and SVM Classifier for Text Classification.
Hands on Real-World Projects on Various Domains of Natural Language Processing
Feature Engineering for NLP
Data Visualization for NLP
A summary of the concepts of Deep Learning theory.
The importance of Natural Language Processing (NLP) in Data Science.
Quizzes and exercises

Description

Interested in Learning Natural Language Processing?

This course is a perfect fit for you.

This course will take you to step by step into the world of Natural Language Processing.

NLP is a subfield of linguistic, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data.

It will cover all common and important algorithms and will give you the experience of working on some real-world projects.

This course will cover the following topics:-

1. Introduction to NLP.

2. Feature Engineering for NLP.

3. Data Cleaning for NLP.

4. Feature Extraction for NLP.

5. Data Visualization for NLP.

6. Text Classification.

7. Cleaning and Pre-processing

We have covered each and every topic in detail and also learned to apply them to real-world problems.

You don't know anything about NLP? calm down !!!..

I am always available to answer your questions and help you along your data science journey. See you in class!

There are lots and lots of exercises for you to practice and also 2 bonus NLP Projects "Sentiment analyzer" and "Drugs Prescription using Reviews".

In this Sentiment analyzer project, you will learn how to Extract and Scrap Data from Social Media Websites and Extract out Beneficial Information from these Data for Driving Huge Business Insights.

In this Drugs Prescription using Reviews project, you will learn how to Deal with Data having Textual Features, you will also learn NLP Techniques to transform and Process the Data to find out Important Insights.

This is a great test for people who are learning the Python language and data science and are looking for new challenges.

You will make use of all the topics read in this course.

I am expecting you to know basic knowledge of python and your curiosity to learn Different techniques in NLP world.

After finishing the course you should able to build your own basic NLP applications

You will also have access to all the resources used in this course.

Instructor Support - Quick Instructor Support for any queries.

I'm looking forward to see you in the course!

Enroll now and become a master in machine learning.

Duration 2 Hours 58 Minutes

Paid

Self paced

Beginner Level

English (US)

19791

Rating 4.58 out of 5 (175 ratings in Udemy)

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