Skip to content

DevIncept/NLP

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

92 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Module 1

This training program aims to give you a direction and how to use all the resources which are available for free online. In this module, we have tried to create some data which is from different places (we tried to get the best resources which are already available and also created ours which was not available anywhere in the form we wanted) and is curated in a form which will make you aware about your course.

The main aim of this training program is to provide you a path you have to work on, and the following are the topics for this module. You can use other resources as well to understand the topics which you can easily find by searching on google. There will be a competition either on Hackerrank or Kaggle on the weekends. And the last project you'll have to submit fo which form will be shared on Slack Workspace.

  1. Part1: Numpy basics

  2. Part1: Numpy notebook

  3. Part2: Pandas basics

  4. Part2: Pandas notebook

  5. Part3: Regular Expression basics

  6. Part3: Regular Expression notebook

  7. Part4: Competition-Numpy&Pandas - Will be held on saturday-Sunday : Link will be shared on Discord.

This is not mandatory for completion of course, but will count for merit.

  1. Part5: Introduction to NLP
  2. Part6: Introduction to NLTK
  3. Part7: Basic functions in NLTK
  • Tokenization
  • Stemming
  • ParsingBasic_functions_in_NLTK.md
  • Lemmatization
  • POS tagging
  • Chunking
  1. Part7: Project:Basic functions in NLTK
  2. Part8: Mini Project: Text preprocessing using NLP

13.Part9: Quizz compulsory for completion (link will be shared on Discord on Monday)

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •