Course description
This course covers the essential topics in Natural Language Processing (NLP), from basic text preprocessing to deep learning applications in NLP. Using Python and popular NLP libraries like NLTK, spaCy, and transformers, you will learn how to build NLP models for real-world applications such as text classification, sentiment analysis, machine translation, and chatbots.
What will i learn?
- Understand the fundamentals of NLP and text processing
- Implement NLP models using Python and deep learning frameworks
- Work with real-world NLP applications like chatbots and sentiment analysis
- Learn about advanced NLP topics, including transformers and language models
- Deploy NLP models for real-world applications
Requirements
- Basic Python programming skills
- Familiarity with machine learning concepts is recommended
- Enthusiasm to explore natural language processing techniques
Frequently asked question
AI enthusiasts, data scientists, and developers interested in NLP.
Basic Python and machine learning knowledge are recommended.
NLP fundamentals, text classification, sentiment analysis, chatbots, and more.
