Natural Language Processing (NLP) with Google Colab Training Course
Natural Language Processing (NLP) represents a pivotal domain within artificial intelligence, concentrating on how computers interact with human language. This course introduces participants to NLP methodologies via Google Colab, encompassing essential principles such as text preprocessing, sentiment analysis, and the utilisation of prominent libraries like NLTK and SpaCy for practical applications.
This instructor-led, live training (available online or onsite) targets intermediate-level data scientists and developers keen on applying NLP techniques using Python in Google Colab.
Upon completion of this training, participants will be capable of:
- Grasping the fundamental concepts of natural language processing.
- Preprocessing and cleansing text data for NLP assignments.
- Executing sentiment analysis using the NLTK and SpaCy libraries.
- Handling text data within Google Colab to facilitate scalable and collaborative development.
Course Format
- Interactive lectures and discussions.
- Ample exercises and practice sessions.
- Hands-on implementation in a live laboratory environment.
Customisation Options for the Course
- To request customised training for this course, please contact us to arrange.
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
- Fundamental understanding of natural language processing concepts
- Familiarity with Python programming
- Experience with Jupyter Notebooks or comparable 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
Natural Language Processing (NLP) with Google Colab Training Course - Enquiry
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