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Natural Language Processing

Text processing, tokenization, embeddings, NLP pipelines.

Course Duration: 10 hours​

What You'll Learn​

  • Text preprocessing
  • Tokenization methods
  • Word embeddings
  • Sentence embeddings
  • NLP tasks and pipelines
  • HuggingFace Transformers

Prerequisites​

  • Python programming
  • Deep Learning basics

Course Modules​

  1. Introduction to NLP
  2. Text Preprocessing
  3. Tokenization
  4. Bag of Words and TF-IDF
  5. Word2Vec and GloVe
  6. Sentence Embeddings
  7. Text Classification
  8. Named Entity Recognition
  9. Question Answering
  10. Summarization
  11. HuggingFace Transformers
  12. Project: Sentiment Analysis

Tools Covered​

  • NLTK
  • spaCy
  • HuggingFace Transformers
  • Sentence-Transformers