Posts

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

Feature Extraction in NLP - From Clean Text to Count-Based Features

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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

Text Preprocessing in NLP - Cleaning Raw Text Before Feature Extraction

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NLP by Vinod - Foundations Text Preprocessing Text Preprocessing in NLP - Cleaning Raw Text Before Feature Extraction. After data acquisition, I learned how raw text is cleaned, normalized, tokenized, and prepared before feature extraction. This post connects basic and advanced preprocessing from my notebooks into one clear sequence. NLP Text Cleaning Tokenization Stemming

Data Acquisition for NLP - Collecting Text Before Preprocessing

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Data Acquisition for NLP - Collecting Text Before Preprocessing NLP by Vinod - Foundations Data Acquisition Data Acquisition for NLP - Collecting Text Before Preprocessing. Data acquisition is the first real step before text preprocessing. In this post, I am documenting how I collected data using web scraping, JSON files, SQL, APIs, CSV workflows, and basic EDA. NLP Data Acquisition Web Scraping APIs

Python Strings & Regex for NLP — The Real Foundation

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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

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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

PolypVision AI: Empowering Clinicians with Open-Source Polyp Detection

Hello everyone! Today, I am absolutely thrilled to introduce a medical imaging project that I've been pouring my technical expertise into: PolypVision AI . We are preparing to make this entire project open-source, and I will release the complete GitHub repository link very soon! Stay tuned.