Natural Language Processing with Python Online Course | NLP Course- Edureka

Natural Language Processing with Python Certification Course

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Edureka’s Natural Language Processing with Python course will take you through the essentials of text processing all the way up to classifying texts using Machine Learning algorithms. You will learn various concepts such as Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing and so on using Python’s most famous NLTK package. Once you delve into NLP, you will learn to build your own text classifier using the Naïve Bayes algorithm.
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Why should you take Natural Language Processing with Python course ?

NLP to help AI market to be greater than $60 Billion buy 2025 ~ Forbes

IBM, Microsoft Corporation, Nuance Communications, Health Fidelity have high demand for NLP experts

As per indeed.com, Mean salary of NLP professional is $128,857

Instructor-led Natural Language Processing with Python live online classes

09 th  Feb
Sat & Sun(3 Weeks) Weekend Batch Timings : 10:00 AM - 01:00 PM (EST)
Sold Out
15 th  Mar
Fri & Sat (3 Weeks) Weekend Batch Timings : 09:30 PM - 12:30 AM (EST)
27 th  Apr
Sat & Sun (3 Weeks) Weekend Batch Timings : 10:00 AM - 01:00 PM (EST)

Course Price

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EMI starts at 4003 / month.

Learning Objectives: In this module, you will learn about text mining and the ways of extracting and reading data from some common file types including NLTK corpora 

Topics:
  • Overview of Text Mining
  • Need of Text Mining
  • Natural Language Processing (NLP) in Text Mining
  • Applications of Text Mining
  • OS Module
  • Reading, Writing to text and word files
  • Setting the NLTK Environment
  • Accessing the NLTK Corpora

Hands On/Demo:
  • Install NLTK Packages using NLTK Downloader
  • Accessing your operating system using the OS Module in Python
  • Reading & Writing .txt Files from/to your Local
  • Reading & Writing .docx Files from/to your Local
  • Working with the NLTK Corpora
Learning Objectives: This module will help you understand some ways of text extraction and cleaning using NLTK. 

Topics:
  • Tokenization
  • Frequency Distribution
  • Different Types of Tokenizers
  • Bigrams, Trigrams & Ngrams
  • Stemming
  • Lemmatization
  • Stopwords
  • POS Tagging
  • Named Entity Recognition

Hands On/Demo:
  • Tokenization: Regex, Word, Blank line, Sentence Tokenizers
  • Bigrams, Trigrams & Ngrams
  • Stopword Removal
  • POS Tagging
  • Named Entity Recognition (NER)
Learning Objective: In this Module, you will learn how to analyse a sentence structure using a group of words to create phrases and sentences using NLP and the rules of English grammar 

Topics:
  • Syntax Trees
  • Chunking
  • Chinking
  • Context Free Grammars (CFG)
  • Automating Text Paraphrasing

Hands On/Demo:
  • Parsing Syntax Trees
  • Chunking
  • Chinking
  • Automate Text Paraphrasing using CFG’s
Learning Objective: In this module, you will explore text classification, vectorization techniques and processing using scikit-learn 

Topics:
  • Machine Learning: Brush Up
  • Bag of Words
  • Count Vectorizer
  • Term Frequency (TF)
  • Inverse Document Frequency (IDF)

Hands On/Demo:
  • Demonstrate Bag of Words Approach
  • Working with CountVectorizer()
  • Using TF & IDF
Learning Objective: In this module, you will learn to build a Machine Learning classifier for text classification 

Topics:
  • Converting text to features and labels
  • Multinomial Naiive Bayes Classifier
  • Leveraging Confusion Matrix

Hands On/Demo:
  • Converting text to features and labels
  • Demonstrate text classification using Multinomial NB Classifier
  • Leveraging Confusion Matrix
Goal: In this module, you will learn Sentiment Classification on Movie Rating Dataset 

Objective: At the end of this module, you should be able to:
  • Implement all the text processing techniques starting with tokenization
  • Express your end to end work on Text Mining
  • Implement Machine Learning along with Text Processing

Hands-On:
  • Sentiment Analysis
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Edureka's Natural Language Processing using Python Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learnt content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics and Machine Learning have been discussed.

This course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language.  You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in python programming language to enhance your learning experience.

Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users.

NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data.

After completing this NLP training in Python, you will be able to:
  • Learn basics of Natural Language Processing in the most popular Python Library: NLTK
  • Learn techniques to access or modify some of the most common file types
  • Using I python notebooks, master the art of step by step text processing
  • Gain insight into the 'Roles' played by an NLP Engineer
  • Learn about Bag of Words Modelling and Tokenization of Text.
  • Use n-Gram Models to model and analyze the Bag of words from Corpus
  • Learn about converting text to vector using word frequency count, tf-idf etc.
  • Learn about Latent Semantic Analysis and its usage in the processing of context-aware Semantic Content.
  • Work with real-time data
  • Learn in detail about Sentiment Analysis one of the most interesting applications of Natural Language Processing
  • Gain expertise to handle business in future, living the present
Edureka’s NLP Training is a good fit for the below professionals:
  • From a college student having exposure to programming to a technical architect/lead in an organisation
  • Developers aspiring to be a ‘Data Scientist'
  • Analytics Managers who are leading a team of analysts
  • Business Analysts who want to understand Text Mining Techniques
  • 'Python' professionals who want to design automatic predictive models on text data 
  • "This is apt for everyone”
The prerequisites for this NLP course is Python programming and a good understanding of Machine Learning concepts.

As a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on Python to brush up on your Python Skills.

Edureka’s Natural Language Processing Engineer Certificate Holders work at 1000s of companies like

5000 Total number of reviews
4.57 Aggregate review score
80% Course completion rate
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Manoj Josh link Associate Manager at Accenture, Mumbai

I have attended Edureka's Spring and Design Patterns course. Very engaging and I liked the course structure very much. One good part is , before the course begins you have access to previous courses sessions which helps in understanding whether this course is covering all the topics for you. If not , your required topics can also covered during the actual live sessions. This is one unique company which has really evolved and matured as a solid technical education provider. Great job !!! And I look forward to taking more courses from you!

Abhimanyu Rana link Software Developer Intern at Copart

A total Hands Down!!! Teaching 5/5, Tech Support 5/5, Quality of education 5/5. This is by far 1 stop solution for your studies. I took Python course and was amazed by the teaching. Amazing teachers and course material. 24x7 support for even small queries now that's what I call a pure dedication. I love the whole edureka team. You just got a permanent customer Edureka. Thank you for all the small and big things you did for me. A special thanks to sales team for going out of the way to help me understand the course module and providing me with wonderful offers ;) Cheers:)

Anitha Guruswami link QA Consultant

This company has been heaven sent to anyone interested in learning the newer technologies that are changing by the day. Their instructors are top notch and above all their customer service is unparalleled. The student experience was amazing for me. I took the Selenium course and the content was perfect. My instructor obviously had wealth of experience in the material he was teaching. He had answers of all questions we had asked. I will surely take more courses with them and I have recommended edureka to several of my colleagues. Great Job! edureka.

Sunil Bhardwaj link Solution Architect

The courses are too good.These courses are providing live instruction so-that any time , we can play and learn. Also it provides labs so-that we can practice and implement live.I have joined AWS , R and Tableau which provides me great learning as they provides previous videos sessions , which provides great help before going in main session.Edureka courses provides lifetime access for the courses so that any time we can start playback session and learn and if any problem in any courses then we can also take live class without giving any fees further.

Venkateswarlu ponna link Agile Test Lead (UAT)

Edureka is Best Online training in throughout my career (11 years). I subscribed for DevOps and course is well organized and will get hands by just following PPT, Videos and Lab exercises (Before they launch any course they do lot of home work). Best thing about Edureka is when you stuck while doing Lab exercises just mail to support team, they will call and guide to solve it for sure. It has excellent trainers and support team with 24x7 support.

Vijay Kalkundri link Principal Engineer at Reflektion, former Senior Test Engineer at Nokia

I had a great experience in taking the Hadoop course from Edureka. It is the only course in the market which facilitates the people from the Non development background to plug themselves into the Hadoop ecosystem. Edureka has provided a unique opportunity for the students around the world to connect to some of the best tutors. The tutors not only provide a very good theoretical explanation , but also help us to co-relate it with some real time examples. This gives a edge to the students and the working professional who attend the course.The best advantage of the Edureka course is the fact that we can attend the course from the comfort of our home as well as download the courses and listen to it over again and again. I am sure that Edureka will be playing a key role in filling the Gap of the Professionals which the Cloud ecosystem is currently facing. Cheers,Vijay Kalkundri - Good Session and one of the best instructor to have interfaced with at online.

Chandrasekhara Rao Chitiprolu

I have been using Edureka for learning different topics related to Big Data -Hadoop, PIG, HIVE, Cassandra. I am very happy with the training and the help they are providing and I feel better than another online training where I registered for Cassandra. One of great thing is we can download the videos and references for later use, I use these in my commute to work (usually spend 2.5 hrs in train). Thank you for being flexible and proving great opportunity to learn cutting edge technologies - Cheers

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You don’t have to worry about the System Requirements as you will be doing your Practical on a Cloud LAB environment. This environment already contains all the necessary software that will be required to execute your practicals.
You will do your Assignments/Case Studies using Jupyter Notebook that is already installed on your Cloud LAB environment whose access details will be available on your LMS. You will be accessing your Cloud LAB environment from a browser. For any doubt, the 24*7 support team will promptly assist you.

Instructor-led Sessions

18 Hours of Online Live Instructor-Led Classes. Weekend Class: 6 sessions of 3 hours each.

Real-life Case Studies

Live project based on any of the selected use cases, involving the implementation of the various NLP concepts using Python

Assignments

Each class will be followed by practical assignments which will aggregate to a minimum 20 hours.

Lifetime Access

You get lifetime access to the Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.

24 x 7 Expert Support

We have the 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.

Certification

Towards the end of the course, you will be working on a project. Edureka certifies you as a "Natural Language Processing Engineer" based on the project.

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.
"You will never miss a lecture at Edureka! You can choose either of the two options:
  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch."

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

You can give us a CALL at +91 90660 20867/1844 230 6362 (US Tollfree Number) OR email at sales@edureka.co

For payments done using credit cards, to make this a No Cost EMI offer, the interest amount will be discounted from the price of the course. Your card will be charged for the course price minus the discounted interest. The total amount you will pay to the bank (excluding GST) will be equal to the price of the course. The bank will charge GST on the interest amount. For payments done using Razor Pay EMI, the price will not be discounted upfront. Instead, you will not be charged any interest for a No Cost EMI offer.
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