Vinod Codes | AI Engineering & Data Science

NLP by Vinod - Foundations Feature Extraction Feature Extraction in NLP - From Clean Text to Count-Based Features. After text preprocessing, I learned how cleaned words are converted into numbers using word count, frequency distribution, one-hot encoding, Bag of Words, n-grams and TF-IDF. NLP Feature Extraction Bag of Words TF-IDF

Python Strings & Regex for NLP - The Real Foundation NLP by Vinod - Foundations NLP Core Skills Python Strings & Regex for NLP - The Real Foundation. Before tokenization, embeddings, transformers, or BERT, every NLP pipeline starts with raw text. This post is my practical breakdown of Python strings, Unicode, regex patterns, and text cleaning for NLP. NLP Python Regex Text Preprocessing

NLP Learning Roadmap — From Fundamentals to Real-World AI Systems NLP by Vinod • Foundations NLP Learning Roadmap NLP Learning Roadmap: My Structured Plan from Basics to Real AI Systems. A practical Natural Language Processing roadmap covering Python text processing, machine learning, deep learning, transformers, BERT, NLP projects, and deployment. NLP Machine Learning Deep Learning Python Roadmap