Quick intro:


Source: ["Natural Language Processing In 5 Minutes | What Is NLP And How Does It Work? | Simplilearn" by Simplilearn, Youtube]

Course Overview:

Welcome to Natural Language Processing - Full Course!
This course covers Natural Language Processing, focusing on techniques for analyzing and processing human language. It discusses methods like text preprocessing, tokenization, and the use of word embeddings. Additionally, it explores advanced NLP applications like sentiment analysis, named entity recognition, and the use of state-of-the-art models such as BERT and GPT.

Chapter 12: Introduction to NLP

Source: ["Natural Language Processing with spaCy & Python - Course for Beginners" by freeCodeCamp.org, Youtube]

Exercise:
- Watch this video and make some notes. Once done, go to the next chapter, NLP Techniques.

Chapter 13: NLP Techniques

Source: ["Complete Natural Language Processing (NLP) Tutorial in Python! (with examples)" by Keith Galli, Youtube]

Exercise:
1. Watch this video and make some notes;
2. The next stage is an exam. You have 10 questions, with a total time of 10 minutes. To pass, you need to get 8 out of 10. You can retake it. Once you pass, you will have 1 minute to redeem your certificate by entering your full name correctly!

Exam (Redeem Certificate)

Results

Your score:

Summary


Now you can post your certificate on LinkedIn. You can also explore and learn next AI chapters, other programming languages from Skill-Based Roadmaps or choose a career path from Role-Based Roadmaps.