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A repository to showcase the upskilling of self in theoretical and applied aspects of cv & nlp during the ongoing sabbatical of 18* months(Jan 2022 - June 2023)*. It's an attempt to pursue a nano degree in computer vision and natural language processing using Internet as an open university.

Consists of the NLP basics to advanced

This repository includes a complete Natural Language Processing (NLP) learning path, from basics to advanced concepts, implemented using Python.

Welcome to the NLP Repository! This repository is dedicated to showcasing various projects, models, and resources related to Natural Language Processing (NLP). Whether you're a beginner looking to understand the basics or an advanced user aiming to explore state-of-the-art techniques, this repository has something for everyone.

A step-by-step guide to mastering machine learning, from Python basics to advanced deep learning, NLP, and MLOps. Learn key tools like NumPy, Pandas, Scikit-Learn, TensorFlow, and AWS to build, deploy, and maintain ML models effectively.

Building Chatbot using Google Dialogflow: A Chatbot is a software or an agent or a service which simulates human conversation in natural language through messaging applications, websites, mobile phones, or telephone. They can be programmed to respond to simple keywords or prompts to complex discussions. A Chatbot has two different tasks at the core: analyze the request (identifying the intent of the user) and providing the response. Chatbots are of two types: one functions on a set of rules, and the other more advanced one uses artificial intelligence. 1. Chatbots that function on rules: It is easy to build and can get basics tasks done with limitations to specific commands. This bot performance would depend on programming skills. 2. Chatbots that function on machine learning: It understands languages and not just commands, it provides relevant responses from the previous experience and training. It communicates through speech or text, relying on AI technologies like machine learning and NLP.

Building A ChatBot With Amazon Lex: A Chatbots is an intelligent software that can simulate a conversation (or a chat) with a user in natural language through messaging applications, websites, mobile phones or telephone. They can be programmed to respond to simple keywords or prompts to complex conversations. A Chatbot has two different tasks at the core: user request analysis (identifying the intent of the user) and returning the response. There are two types of chatbots: one functions on a set of rules and the other more advanced one uses artificial intelligence. 1. Chatbots that function on rules: It is easy to build. Though simplistic, it can get basics tasks done with limitations to specific commands. This bot is only as smart as it is programmed. 2. Chatbots that function on machine learning: It understands languages and not just commands and provides relevant responses. It communicates through speech or text relying on AI technologies like machine learning and NLP. It gets smarter as it learns from the conversations from users.

A personal Handbook for NLP learners and beginners.

NLP hands-on projects with source code

THIS CONTAINS ALL CODE RELATED TO NATURAL LANGUAGE PROCESSING FROM BASIC LEVEL TO ADVANCED LEVEL

NLP Basics to Advanced Projects

Learning NLP from basics to advanced projects

All Details from basics to advanced in "nlp"...

It covers basics to advanced terminology used in NLP

Contains the Basics of NLP to the Pre-Advanced Level

This repo contains from basics to advanced concepts in NLP

Here, I will Work on NLP projects... from basics to advanced level..

This repo contains all the codes related to NLP tasks from basics to advanced.

A comprehensive collection of Jupyter notebooks covering NLP concepts from basics to advanced topics.

This GitHub File have all NLP concept. it started from very basics to advanced concept related to Natural Language Processing.

This NLP roadmap repository is a collection of resources and tools that can help you learn and improve your NLP skills. It is designed to provide a clear and organized path for beginners to advanced NLP topics, from the basics of language processing to more advanced techniques and applications.

NLP_Basics_Tutorial_Examples is a dynamic tutorial folder housing 23 notebooks covering a spectrum of NLP fundamentals, from tokenization and sentiment analysis to advanced topics like transformers and sequence modeling.

A complete NLP portfolio implementing Transformers from basics to advanced — BERT, DistilBERT, RoBERTa, Self-Attention, Hugging Face pipelines and fine-tuning | Deep Learning Series

This repository includes all the basics to advanced level of details related to NLP models, Deep Learning models, Fine Tuning of LLMs, GenAI apps in AWS and Deploying end-to-end projects

Testing out and understanding transformers from the basics to advanced projects (relearn and making sure I FULLY understand the fundamentals even after working with nlp for quite some time)

"Python for AI (Basics to Advanced)" is a comprehensive guide that covers Python fundamentals and advanced AI techniques like machine learning, deep learning, and NLP. It includes key libraries (NumPy, Pandas, TensorFlow) to help you build AI applications from scratch. Perfect for both beginners and advanced learners.

Machine Learning, Deep Learning & NLP portfolio showcasing Python programming, data analysis, ML/DL models, NLP techniques, and end-to-end projects with deployment on AWS. Includes Python basics, advanced ML algorithms, deep learning architectures, NLP pipelines, and real-world projects demonstrating full-stack data science skills.

This repository contains my "daily learning programs" of Machine Learning (ML) using Python. It is organized as **Day-wise tasks**, starting from basics (NumPy, Pandas, Matplotlib) to advanced ML models (Regression, Classification, Clustering, NLP, etc.).

Dive into TensorFlow's ML wonders with this repository! It compiles notes and projects from FreeCodeCamp's "Machine Learning with Python" certification. Uncover neural networks, NLP, and more on this journey from basics to advanced techniques.