Natural Language Processing (NLP) with Google Colab Training Course
Natural Language Processing (NLP) is a critical domain within Artificial Intelligence, centred on the interaction between machines and human language. This course introduces participants to NLP methodologies utilising Google Colab, encompassing fundamental concepts such as text preprocessing, sentiment analysis, and the practical application of prominent libraries like NLTK and SpaCy.
This instructor-led, live training (available online or onsite) is designed for intermediate-level data scientists and developers seeking to implement NLP techniques using Python within the Google Colab environment.
Upon completion of this training, participants will be able to:
- Grasp the core principles of natural language processing.
- Preprocess and clean text data for NLP applications.
- Execute sentiment analysis using the NLTK and SpaCy libraries.
- Manipulate text data using Google Colab to facilitate scalable and collaborative development.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical sessions.
- Hands-on implementation within a live laboratory environment.
Course Customization Options
- To request customized training for this course, please get in touch with us to make arrangements.
Course Outline
Introduction to NLP
- What is Natural Language Processing?
- Importance of NLP in modern AI applications
- Popular libraries for NLP: NLTK, SpaCy, Hugging Face
Text Preprocessing Techniques
- Tokenization and stop words removal
- Stemming and lemmatization
- Text normalization techniques
Sentiment Analysis
- Introduction to sentiment analysis
- Performing sentiment analysis with NLTK
- Using SpaCy for advanced sentiment analysis
Advanced NLP Techniques
- Named entity recognition (NER)
- Text classification
- Language modeling with pre-trained models
Working with Google Colab
- Introduction to Google Colab environment
- Setting up and managing NLP projects in Colab
- Collaborating on NLP tasks in Colab
Real-World Applications of NLP
- NLP in healthcare, finance, and customer support
- Using NLP for chatbots and virtual assistants
- Future trends in NLP research
Summary and Next Steps
Requirements
- Basic understanding of natural language processing concepts
- Familiarity with Python programming
- Experience with Jupyter Notebooks or similar environments
Audience
- Data scientists
- Developers with experience in Python
- AI enthusiasts
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793