Natural Language Processing (NLP)
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.
Overview
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
Instructor
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Course Features
- Lectures 0
- Quizzes 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes