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Master Natural Language Processing using case studies

Master Natural language Processing course using Python from Beginner to super-advanced level using case studies

What you’ll learn in Natural Language Processing using case studies

  • Master Natural Language Processing using Python
  • Master Machine Learning on Python
  • Regular Expression
  • Lexical processing
  • Bag of words
  • tf-idf
  • Spell corrector
  • Syntactic processing
  • Grammer for English sentence
  • Stochastic parcing
  • Viterbi algorithm
  • Hidden markov model
  • CFG/PCFG grammer
  • Semantic processing
  • wordNet
  • wordVector
  • word2Vec
  • Real World Case Studies

Requirements for natural language processing course

  • Any Beginner Can Start this Course
  • 2+2 knowledge is more than sufficient as we have covered almost everything from scratch.
  • Prior Knowledge of Machine Learning is beneficial , if not we have covered all required pre-requisites in the course itself.

Description

Wants to become an expert NLP engineer and a data scientist?  Then this is the right course for you.

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 that 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 of 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 has 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

Who this course is for:

  • This course is meant for anyone who wants to become a Data Scientist
  • This course is meant for anyone who wants to become NLP engineer

Created by Geekshub Pvt Ltd
Last updated 7/2021

English
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Size: 10.6 GB

Torrent Download: Master Natural Language Processing using case studies.torrent (188 KB) | Mirror

Source: https://www.udemy.com/course/master-natural-language-processing-using-case-studies/

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