Natural Language Processing using Python Training

71k + Learners
  • Learn important natural language processing techniques using Python
  • Know how to extract insights from real-world text data using natural language processing techniques.
  • Get access to Capstone project to fimilarize with the concepts.
  • Try out our Lowest Price Challenge. Let us know if you find a course cheaper than us.

Training Types

For Individuals

Live Online Training

  • Learn important natural language processing techniques using Python
  • Know how to extract insights from real-world text data using natural language processing techniques.
  • Get access to Capstone project to fimilarize with the concepts.
  • Try out our Lowest Price Challenge. Let us know if you find a course cheaper than us.
Corporate Training

Corporate Training

  • Engage in Classroom Training lecture by an industry expert at your facility.
  • Learn as per full day schedule with discussions, exercises and practical use cases.
  • Design your own course content based on your project requirements.
  • Self-Paced/Live Online/Classroom modes of training available.
  • Gain complete guidance on certification.

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Course Agenda

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Course Description

About the Natural Language Processing using Python Course

 

This course teaches you how to use raw text data and derive insights and value from it. You will also master the art of processing text data using standard techniques in Natural Language Processing and Machine Learning.

You will master important NLP concepts including Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing and more by utilizing Python’s popular NLTK package. After the completion of the course, you will be able to develop your own text classifier through the Naïve Bayes algorithm.


Lecteron’s Natural Language Processing using Python course is strategically designed and developed by world-class domain experts. This certification in your resume provides you the much needed competitive edge that sets you apart from your peers.

 

What you Learn

 

The Natural Language Processing using Python validates your Machine Learning  knowledge and is a globally accepted certification. After the course, you will master Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and so on to conduct Natural Language Processing. This comprehensive and interactive course will help you to master the fundamental concepts of NLP, its important functions, operations and the execution pipeline. .

The course is designed to make you exam-ready and help you pass the exam in the first go.

 

High Level Learning Objectives

 

  • Able to grasp the nature of raw text data and how to work with it.
  • Knowledge about various text pre-processing techniques.
  • Master performing Parts-of-Speech Tagging and Named Entity Recognition
  • Gain knowledge about the crucial techniques for feature extraction from text.
  • In-depth knowledge on how deep learning can be used to solve complex tasks in NLP
  • Ability to implement successful NLP projects using Deep Learning.

 

Who Should Do This Course

 

  • Anyone aspiring for a career in the field of Machine Learning and NLP 
  • Analytics professionals,
  • Software developers and testers,
  • Python professionals 
  • data scientists.

 

Why Should You Go For This Course

 

The Natural Language Processing using Python certification is in great demand. A Forbes report says that NLP will help the AI market to become greater than $60 Billion by 2025 .Big brands like IBM, Microsoft Corporation, Nuance Communications, Health Fidelity are recruiting NLP experts in great numbers. When more than 80% of the data in this world is unstructured and raw, businesses require text mining and Natural Language processing  (NLP) to make sense out of this data.

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📱 US +1 832 648 7874

📱 IN +91 8431366455

Mail Your Queries

📧 Support@lecteron.com

Exam & Certification

To successfully become a Natural Language Processing using Python certified professional, you must fulfil the following prerequisites:

  • Complete at least one project.
  • Score a minimum of 60% in any one of the two simulation tests.
  • Complete 85% of the course.

Lecterron Participant Reviews

Swati was a good instructor, and very knowledgeable about the topic. She made sure to stop to allow for questions or clarifications. She also maintained a very positive attitude and moved the program along accodingly.

David Lancet

I have enrolled in the PMP program from Lecteron. Lecteron took all the pain to ensure that I am progressing and that I have no concerns. They have always been prompt in helping me. The trainers have been great and highly experienced.   

Atit Kumbhani

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