Skills

NLTK, Bags-of-word model,
WordToVec,Skip Gram model,
Basics of pytorch

Perks

4 Projects
Chance to get your Article published 
Certificates
Portfolio Making and hosting
Internship Chance.

Module 1

 
- Introduction to NLP

- Text-Cleaning and preprocessing

     >Regular Expression
     >NLTK
     >Stopwords
     >Stemming
     >Lemmitization

- Mini Project

Module 2

 
- Bags-Of-Words Model

 - Model Training

     >Splitting the datasets
     >Naive Bayes
     >Logistics Regression

  - Project 1(Sentiment Analysis)

  - Bonus(BERT)

Module 3

 
- Word Embeddings

     >Embedding Weight           Matrix
      >Lookup Tables

 - Subsampling

 - Validation

 - Mini Project

Module 4

  - Introduction to pytorch

  - SkipGram model

  - TSNE

  - Project 2(Finding Similar words in the Text)

  - Bonus(Attention)