Natural Language Processing in Hindi (Krish Naik Hindi)

About this course

Krish Naik's Hindi introduction to NLP: a roadmap, text pre-processing and the main ways of turning text into numbers, with Python implementations. Who it's for: machine learning learners starting with text data, in Hindi. Taught in Hindi. These are the free, official videos of the "Natural Language Processing" playlist from the Krish Naik Hindi YouTube channel (youtube.com/@krishnaikhindi). All videos belong to Krish Naik; Sikhami is not affiliated with Krish Naik and simply arranges the public playlist into a course, so you can learn one lesson at a time and keep track of your progress.

What you will learn

• A roadmap for learning NLP and its key terms • Tokenisation, stemming and lemmatisation • One-hot encoding and bag of words • N-grams and TF-IDF • Word embeddings and Word2Vec (CBOW and skip-gram)

Course content

1 section · 12 lectures · 2h 48m

1. 1. Natural Language Processing

   • Hindi-Introduction And Roadmap To Learn Natural Language Processing(NLP)|Krish Naik15m
   • Tutorial 2- Hindi-Why To Learn Natural Language Processing(NLP) And Basic Terminologies|Krish Naik15m
   • Tutorial 3-What Is Tokenization And Its Implementation In Python|Krish Naik13m
   • Tutorial 4- Stemming And Lemmatization And Its Implementation NLP|Krish NAik16m
   • Tutorial 5- Plan Of Learning Text Embedding In NLP- Krish Naik Hindi13m
   • Tutorial 6-One Hot Encoding Word Embedding Indepth Intution In NLP- Krish Naik Hindi16m
   • Tutorial 7-Bag Of Words Text Embedding Indepth Intuition In NLP- Krish Naik Hindi15m
   • Tutorial 8- Ngrams Indepth Intuition In NLP- Krish Naik Hindi6m
   • Tutorial 9-TF-IDF Word Embedding Indepth Intuition- Krish Naik Hindi14m
   • Tutorial 10-Introduction To Word Embeddings- Krish Naik Hindi8m
   • Tutorial 11-Word2vec Word Embedding Indepth Intuition NLP- Krish Naik Hindi14m
   • Tutorial 12-Word2vec CBOW And Skipgram Indepth Intuition NLP- Krish Naik hindi18m