Natural Language Processing: NLP In Python with 2 Projects

Learn NLP with Machine Learning Algorithms, Spacy, NLTK, TextBlob for Text Processing, Text Classification and Much More

4.34 (382 reviews)

Udemy

platform

English

language

Data Science

What you will 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

Why take this course?

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.

Screenshots

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Reviews

Sahar

October 15, 2023

Some tools need more explanation, I encountered with errors using the provided syntax, as well as, didn't work to scrap tweets from twitter.

Rakesh

October 9, 2023

This course quite basic and these techniques are not even used for text classification. Though, the last project was quite good. It's good start for any beginner.

Ved

October 9, 2023

Very poorly designed course. No Explanation given for the codes that were written. Gladly I do not have to pay for it but if someone is paying and expecting to learn this is not for you. Google it and you will get more information.

Scott

August 14, 2023

The examples are rushed through, and it would be good to have more explanation about what they are doing. I had to update some of the examples to run in my notebook as there have been recent changes in the libraries, e.g. for seaborn: sns.scatterplot(x = data['polarity'], y = data['subjectivity'])

Abhishek

July 31, 2023

A real Data Science teacher would be a better choice for teaching rather than some Verbal Communication coach, I mean which data scientist will pounce scipy as cipi . I am not going to comment on that she is prounouncing 'r 'to 'd' , which can be observe in library pronounced as 'librady', engineering as 'engineeding'. Just, putting a good face will not give you a good content. Thankfully it was a free course for me, otherwise I would have regretted a lot.

Rickey

June 16, 2023

This is another course I've completed on Udemy that I am very pleased with. Covers nltk word and sentence tokenization, lemmatization, stemming, POS tagging, polarity, subjectivity scoring. Implementation of a naive Bayes classifier and support vector machines model, as well as a simple remark about the difference in training and testing accuracy results of both, the naive Bayes and SVM model.

Gabriel

February 28, 2023

The code explanation is too vague, they should go deeper into the actual functions applied and the instructor's english is awful and the subtitles are even worse.

Krystian

February 18, 2023

I highly recommend this NLP course on Udemy! It covers essential topics like POS tagging, lemmatization, feature extraction, bag of words and many more. The explanations are clear and easy to follow, making it an ideal resource for anyone looking to learn more about NLP. Don't miss out on this great opportunity!

January 4, 2023

I liked this course a lot. The instructors explained the concepts well and I love the actual projects to complete.

Syed

October 11, 2022

This is a great course for a beginner to learn NLP and get hands on experience. The course is insightful and exciting. There are lots of examples and deep explanations for the code. The instructor is great in explaining the contents and the code. Thank you so much for this course. Highly recommended!

Ekoue

September 27, 2022

Lessons are clear, well explained, and simple to understand. It gives me the basics I need to work on NLP.

kamal

August 2, 2022

Excellent course, this is exactly what I've been looking for clear lectures, tons of resources, perfect explanations, etc. Perfect course, I highly recommend it to anyone interested in learning Natural Processing Language!!

Arun

July 25, 2022

Amazing course on NLP. This course was very good for someone with no prior knowledge. It covers a variety of examples and datasets shown in the sections are vey useful. This course is absolutely wonderful to get into the field of data science. Very impressed with this course. Highly recommended.

Shivam

June 26, 2022

This is a great course for a beginner to learn NLP and get hands on experience. Every lecture topic was covered thoroughly with clear, concise explanations. The theoretical concepts are clearly explained with practices on the real dataset. Highly recommended!

FAISAL

October 5, 2021

It is such a great course. You will know about NLP also at last they will show you projects which boosts our confidence. Thanks a lot for this course. This will be helpful for career prospective.

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