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NLP by Vinod

A structured public journey from NLP fundamentals to real-world AI systems.

Vinod Codes is where I document my learning in AI, Machine Learning, Deep Learning, Natural Language Processing, Generative AI, and practical projects.

The main series here is NLP by Vinod — a learner-builder journey where I explain concepts with intuition, Python examples, mistakes, GitHub work, and honest implementation notes.

Start here: follow the Foundations Track first, then move into deep learning, transformers, projects, and real-world NLP systems.
NLP Foundations Python for NLP Machine Learning Deep Learning Real Projects
Start with the NLP Roadmap View GitHub Repository

NLP Libraries - NLTK, spaCy, TextBlob and Stanza in Practice

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NLP by Vinod - Foundations NLP Libraries NLP Libraries - NLTK, spaCy, TextBlob and Stanza in Practice. After embeddings, I explored the practical NLP libraries that help with tokenization, POS tagging, NER, sentiment analysis, parsing, multilingual processing and quick NLP experiments. NLTK spaCy TextBlob Stanza
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