Here’s What We’ll Cover:
Natural Language Processing (NLP)
- Basics of text processing: tokenization, stemming, lemmatization.
- Sentiment analysis, text classification, named entity recognition (NER).
- Transformers, BERT, GPT models for advanced NLP tasks.
Curriculum
- 8 Sections
- 51 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- NLTK: Tokenization, Stemming, Lemmatization, POS Tagging7
- Natural Language Processing (NLP)4
- Named entity recognition (NER)9
- Sentiment Analysis3
- Text Classification9
- Transformers6
- BERT: A Comprehensive Guide to the Groundbreaking NLP Framework7
- Understanding The Evolution of GPT Models6
