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Master Natural Language Processing using case studies

Master Natural language Processing using Python from Beginner to super advance level using case studies
148 Students enrolled
4.17
6 reviews
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Wants to become a expert NLP engineer and data scientist?  Then this is a right course for you.

This course has been designed by IIT professionals who have mastered in Mathematics and Data Science.  We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well.

We will walk you step-by-step into the World of NLP. With every tutorial you will develop new skills and improve your understanding towards the challenging yet lucrative sub-field of Data Science from beginner to advance level.

We have solved few real world projects as well during this course and have provided complete solutions so that students can easily implement what have been taught. Case studies are explained in detail with step by step instructions. Prior Knowledge of Machine Learning and deep learning is beneficial , if not we have covered all required pre-requisites in the course itself.

We have covered following topics in detail in this course:

1) Introduction to NLP and Regex

2) Introduction to Lexical Processing

3) Advanced Lexical Processing

4) Basic Syntactic Processing

5) Intermediate Syntactic Processing

6) Advanced Syntactic Processing

7) Probabilistic Approach

8) Syntactic Processing With Real World Project

9) Introduction to Semantic Processing

10) Advance Semantic Processing Part1

11) Advance Semantic Processing Part2

12) Prereqs : Python, Machine Learning , Deep Learning

Introduction to NLP and Regex
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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Course details
Video 31 hours
Certificate of Completion

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Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed
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