End To End NLP Project Implementation With Deployment Github Action- Text Summarization- Krish Naik

In this video Bappy will explain you how to implement an end to end NLP project with deployment using github action
Text summarization is the process of condensing a longer piece of text, such as an article, document, or paragraph, into a shorter and more concise version while preserving its key information and meaning. The goal of text summarization is to extract the most important points and main ideas from the original text and present them in a condensed form.
Github Code Link: https://github.com/krishnaik06/Text-Summarization-NLP-Project

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Timestamp

00:00:00 – Introduction
00:00:52 – Project Introduction
00:06:33 – Prerequisite
00:07:49 – Introduction of the Instructor
00:08:54 – What is Text Summarization (Online Demo)
00:11:49 – Github Repository Setup
00:14:46 – Project Template Creation
00:40:04 – Requirements Installation & Project Setup
00:51:42 – Logging, Exception & Utils Modules
01:08:39 – Entire Project Notebook Experiment
01:24:17 – Project Workflows
01:32:44 – Data Ingestion Notebook Experiment
01:52:12 – Data Ingestion Final Implementation
02:03:28 – Data Validation Notebook Experiment
02:11:04 – Data Validation Final Implementation
02:20:13 – Data Transformation Notebook Experiment
02:25:45 – Data Transformation Final Implementation
02:30:59 – Model Trainer Notebook Experiment
02:42:18 – Model Trainer Final Implementation
02:47:52 – Model Evaluation Notebook Experiment
02:53:37 – Model Evaluation Final Implementation
02:58:27 – Prediction Pipeline & User App
03:08:31 – Project CI/CD Deployment on AWS
03:36:41 – Outro/ End of the Project

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check out the complete NLP tutorials
https://www.youtube.com/watch?v=fM4qTMfCoak&list=PLZoTAELRMXVMdJ5sqbCK2LiM0HhQVWNzm

Live NLP playlist: https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn&pp=gAQB