Natural Language Processing with Python
Teacher
Prof. Dr. Nadeem AhmadLast Update
06-December-2025
- Discription
Course Overview
Learn NLP techniques like sentiment analysis, text classification, and named entity recognition using Python’s NLTK, spaCy, and transformers. The course includes hands-on projects, including building a chatbot and a text summarizer.
Requirements
Before enrolling, ensure you meet the basic prerequisites. These may include foundational knowledge, necessary tools, or specific skills required to fully benefit from the course. Check the list of requirements to make sure you're prepared for a smooth learning experience!
- Python basics
- understanding of ML concepts (helpful but not mandatory)
Description
This course dives into NLP, teaching you how to process and analyze text data efficiently. You’ll explore tokenization, word embeddings, and transformer models like BERT. Practical exercises include spam detection, emotion recognition, and machine translation. By the end, you’ll be able to implement NLP solutions for real-world applications, making this ideal for data scientists and AI enthusiasts.
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