E-Books →Natural Language Processing Practical using Transformers with Python

1. Named Entity Recognition
2. Fake News Detection
3. Paraphrase Text
4. Text Generation
5. Speech Recognition
6. Machine Translation
7. Train BERT from Scratch
8. Conversational AI Chatbot
9. Fine Tune BERT
10. Perform Text Summarization
11. Sentiment Analysis
12. Translate Languages
13. Perform Text Classification
14. Build a Text Generator
15. Build a Spam Classifier
I have explained every topic in the most simplest way and you can use these topics in multiple place
Who this book is for
This book is highly appealing to all tech-savvy students, programming enthusiasts, IT graduates, and computer science professionals who want to build strong proficiency in building Python applications. Prior understanding of Python basic coding concepts like variables, expressions, and control structures is required to begin with this book. You can also read Basic Core Python