🧠 NLP Practice – spaCy, BERT & Text Processing

Hi there! 👋
Welcome to my Natural Language Processing (NLP) playground, where I explore and apply a wide range of NLP concepts and techniques using Python tools like spaCy, BERT, Gensim, fastText, and more.
This repository documents my hands-on journey as a Computer Engineering student passionate about AI and language understanding.

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🚀 What You’ll Find Here

A collection of tutorials, exercises, and mini-projects covering:

• 🔍 Regex & Tokenization
• 🧹 Text preprocessing: stop word removal, stemming, lemmatization
• 🏷️ POS tagging and Named Entity Recognition (NER) with spaCy
• 🧠 Bag of Words, TF-IDF, and n-grams
• 🧬 Word embeddings: spaCy, Gensim, fastText
• 🤖 Text classification using:
  • spaCy
  • Gensim
  • fastText
  • BERT (via Hugging Face Transformers)

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🧰 Technologies Used

• Python
• spaCy
• NLTK
• Hugging Face Transformers (BERT)
• Gensim
• fastText
• Scikit-learn
• Pandas & NumPy
• Matplotlib / Seaborn

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👨‍💻 About Me

I’m Othmane Abderrazik, a 4th-year Computer Engineering student at ENSA Marrakech.
Driven by curiosity and passion for AI and NLP, this repository represents my self-learning process to master the building blocks of language technologies.

📧 Reach me at: othmane232004@gmail.com
🌐 Connect with me on LinkedIn

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Feel free to explore, fork, or contribute if you’re also on a journey to decode human language with machines! 🧠✨