E-Books
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🤖 Teach your computer to understand human language — even if you have never done NLP before. This complete 45-page Hinglish e-book takes you from your very first text-cleaning script all the way to Transformers, BERT and real mini projects like a spam detector and a chatbot, one simple step at a time.
| Chapter | What You Learn |
|---|---|
| 1. NLP Kya Hai? | Natural Language Processing introduction and real uses |
| 2. Python Setup for NLP | NLTK, spaCy and scikit-learn setup |
| 3. Text Cleaning | Cleaning messy real-world text data |
| 4. Tokenization | Breaking text into tokens, the right way |
| 5. Stemming vs Lemmatization | Reducing words to their roots |
| 6. Stopwords | Removing useless words from text |
| 7. Bag of Words & TF-IDF | Turning text into numbers for models |
| 8. Regex for NLP | Pattern matching tricks for text |
| 9. POS Tagging | Parts of speech tagging explained |
| 10. Named Entity Recognition | Finding names, places and dates in text |
| 11. Sentiment Analysis | Detecting positive/negative opinions |
| 12. Spam Classifier Project | Build a working spam detector |
| 13. Word Embeddings | Word2Vec and dense word representations |
| 14. Transformers & BERT | Modern NLP models, explained simply |
| 15. Chatbot Project | Build your own chatbot step by step |
| 16. Learning Roadmap | Where to go after this book |
| 17. Interview Questions | Top NLP interview Q&A |
| 18. Cheat Sheet | Quick reference for all NLP concepts |
Python learners and AI enthusiasts who want to build language AI — chatbots, sentiment tools and text classifiers.
📥 Instant digital delivery — start building language AI today!