Natural Language Processing with Python

Learn how machines understand language and start building your own intelligent text-based apps.

This hands-on course shows you how to get started with Natural Language Processing (NLP) using Python and the popular nltk library. No prior experience required. Just bring your curiosity and some basic Python skills.

🎓 What you’ll learn:

✅ How to install and use the nltk library
✅ Stemming and lemmatization (reducing words to their base form)
✅ Tokenization and text preprocessing
✅ Part-of-speech tagging and parsing
✅ Automatic text classification
✅ BONUS: How to write clean, well-commented NLP code

🚀 Why take this course?

From spam filters and search engines to chatbots and content analysis, NLP powers many of the apps we use every day. This course helps you build your first intelligent text-processing tools in Python using real examples and clear explanations.

“Natural Language Processing is one of the most exciting skills in AI. This course helps you get started without getting overwhelmed.”

📦 What's included:

🎥 Video tutorials you can watch anytime
📁 Source code for every example
💬 Simple projects that use real text data

💡 No advanced math or AI background required. We keep it beginner-friendly and practical.

💬 What Others Are Saying:

“I always thought NLP was too advanced for me, but this course made it feel simple and approachable. The examples were clear and practical.”
– Priya

“Clear code, no fluff, and I actually finished it. If you know a bit of Python, this is the course to get started with NLP.”

– Yusuf

“I’ve tried other NLP tutorials that felt like reading a textbook. This one felt like a conversation. Super beginner-friendly.”

– Tomas