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

Krish Naik · Beginner ·📐 ML Fundamentals ·2y ago
In this video I 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 Support me by joining membership so that I can upload these kind of videos https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join 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 --------------------------------------------------------------------------------------------------------- Join the PWSKILLS Data Science Masters Course Best Affordable Data Science Course From Pwskills(6-7 Months) Impact Batch 2.0:- Data-Science-Masters (
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1 Natural Language Processing|Stemming
Natural Language Processing|Stemming
Krish Naik
 2 Natural Language Processing|BagofWords
Natural Language Processing|BagofWords
Krish Naik
 3 Gaussian distribution or Normal Distribution in statisctics
Gaussian distribution or Normal Distribution in statisctics
Krish Naik
 4 Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Krish Naik
 5 Log Normal Distribution in Statistics
Log Normal Distribution in Statistics
Krish Naik
 6 Covariance in Statistics
Covariance in Statistics
Krish Naik
 7 Confusion matrix, Precision, Recall| Data Science Interview questions
Confusion matrix, Precision, Recall| Data Science Interview questions
Krish Naik
 8 Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Krish Naik
 9 Implementing a Spam classifier in python| Natural Language Processing
Implementing a Spam classifier in python| Natural Language Processing
Krish Naik
 10 Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Krish Naik
 11 Face Recognition using open CV and VGG 16 Transfer Learning
Face Recognition using open CV and VGG 16 Transfer Learning
Krish Naik
 12 Pedestrian Detection using OpenCV from Videos
Pedestrian Detection using OpenCV from Videos
Krish Naik
 13 Face and Eye Detection from Videos using HAAR Cascade Classifier
Face and Eye Detection from Videos using HAAR Cascade Classifier
Krish Naik
 14 Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Krish Naik
 15 OpenCV Installation | OpenCV tutorial
OpenCV Installation | OpenCV tutorial
Krish Naik
 16 Face and Eye Detection from Images using HAAR Cascade Classifier
Face and Eye Detection from Images using HAAR Cascade Classifier
Krish Naik
 17 Car Detection using HAAR Cascade and Opencv from Videos.
Car Detection using HAAR Cascade and Opencv from Videos.
Krish Naik
 18 Using OpenFace for Face recognition in Keras
Using OpenFace for Face recognition in Keras
Krish Naik
 19 OpenPose Tutorial with Tensorflow
OpenPose Tutorial with Tensorflow
Krish Naik
 20 Multiple Linear Regression using python and sklearn
Multiple Linear Regression using python and sklearn
Krish Naik
 21 Dimensional Reduction| Principal Component Analysis
Dimensional Reduction| Principal Component Analysis
Krish Naik
 22 Movie Recommender System using Python
Movie Recommender System using Python
Krish Naik
 23 TPR,FPR,FNR,TNR, Confusion Matrix
TPR,FPR,FNR,TNR, Confusion Matrix
Krish Naik
 24 Precision, Recall and F1-Score
Precision, Recall and F1-Score
Krish Naik
 25 Artificial Neural Network for Customer's Exit Prediction from Bank
Artificial Neural Network for Customer's Exit Prediction from Bank
Krish Naik
 26 GridSearchCV- Select the best hyperparameter for any Classification Model
GridSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
 27 RandomizedSearchCV- Select the best hyperparameter for any Classification Model
RandomizedSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
 28 K Nearest Neighbor classification with Intuition and practical solution
K Nearest Neighbor classification with Intuition and practical solution
Krish Naik
 29 K Means Clustering Intuition
K Means Clustering Intuition
Krish Naik
 30 Create custom Alexa Skill- Lambda function- Part2
Create custom Alexa Skill- Lambda function- Part2
Krish Naik
 31 Hierarchical Clustering intuition
Hierarchical Clustering intuition
Krish Naik
 32 Implement Transfer Learning with a generic Code Template
Implement Transfer Learning with a generic Code Template
Krish Naik
 33 Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Krish Naik
 34 Unlock Your Application With Your Face using OpenCV
Unlock Your Application With Your Face using OpenCV
Krish Naik
 35 Draw rectangle from webcam and sketch process it on a live feed
Draw rectangle from webcam and sketch process it on a live feed
Krish Naik
 36 Complete Life Cycle of a Data Science Project
Complete Life Cycle of a Data Science Project
Krish Naik
 37 How we can apply Machine Learning in Finance
How we can apply Machine Learning in Finance
Krish Naik
 38 Deep Learning in Medical Science
Deep Learning in Medical Science
Krish Naik
 39 How to switch your career to Data Science.
How to switch your career to Data Science.
Krish Naik
 40 Linear Regression Mathematical Intuition
Linear Regression Mathematical Intuition
Krish Naik
 41 Handle Categorical features using Python
Handle Categorical features using Python
Krish Naik
 42 Machine Learning Algorithm- Which one to choose for your Problem?
Machine Learning Algorithm- Which one to choose for your Problem?
Krish Naik
 43 DBSCAN Clustering Easily Explained with Implementation
DBSCAN Clustering Easily Explained with Implementation
Krish Naik
 44 Curse of Dimensionality Easily explained| Machine Learning
Curse of Dimensionality Easily explained| Machine Learning
Krish Naik
 45 Feature Selection Techniques Easily Explained | Machine Learning
Feature Selection Techniques Easily Explained | Machine Learning
Krish Naik
 46 Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Krish Naik
 47 Cross Validation using sklearn and python | Machine Learning
Cross Validation using sklearn and python | Machine Learning
Krish Naik
 48 Handling Missing Data Easily Explained| Machine Learning
Handling Missing Data Easily Explained| Machine Learning
Krish Naik
 49 Deploy Machine Learning Model using Flask
Deploy Machine Learning Model using Flask
Krish Naik
 50 Deployment of Deep Learning Model using Flask
Deployment of Deep Learning Model using Flask
Krish Naik
 51 How to Visualize Multiple Linear Regression in python
How to Visualize Multiple Linear Regression in python
Krish Naik
 52 K Nearest Neighbour Easily Explained with Implementation
K Nearest Neighbour Easily Explained with Implementation
Krish Naik
 53 Predicting Heart Disease using Machine Learning
Predicting Heart Disease using Machine Learning
Krish Naik
 54 Predicting Lungs Disease using Deep Learning
Predicting Lungs Disease using Deep Learning
Krish Naik
 55 Stock Sentiment Analysis using News Headlines
Stock Sentiment Analysis using News Headlines
Krish Naik
 56 Random Forest(Bootstrap Aggregation) Easily Explained
Random Forest(Bootstrap Aggregation) Easily Explained
Krish Naik
 57 Voting Classifier(Hard Voting and Soft Voting Classifier)
Voting Classifier(Hard Voting and Soft Voting Classifier)
Krish Naik
 58 Credit Card Fraud Detection using Machine Learning from Kaggle
Credit Card Fraud Detection using Machine Learning from Kaggle
Krish Naik
 59 Hyperparameter Optimization for Xgboost
Hyperparameter Optimization for Xgboost
Krish Naik
 60 Tutorial 45-Handling imbalanced Dataset using python- Part 1
Tutorial 45-Handling imbalanced Dataset using python- Part 1
Krish Naik

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Chapters (24)

Introduction
0:52 Project Introduction
6:33 Prerequisite
7:49 Introduction of the Instructor
8:54 What is Text Summarization (Online Demo)
11:49 Github Repository Setup
14:46 Project Template Creation
40:04 Requirements Installation & Project Setup
51:42 Logging, Exception & Utils Modules
1:08:39 Entire Project Notebook Experiment
1:24:17 Project Workflows
1:32:44 Data Ingestion Notebook Experiment
1:52:12 Data Ingestion Final Implementation
2:03:28 Data Validation Notebook Experiment
2:11:04 Data Validation Final Implementation
2:20:13 Data Transformation Notebook Experiment
2:25:45 Data Transformation Final Implementation
2:30:59 Model Trainer Notebook Experiment
2:42:18 Model Trainer Final Implementation
2:47:52 Model Evaluation Notebook Experiment
2:53:37 Model Evaluation Final Implementation
2:58:27 Prediction Pipeline & User App
3:08:31 Project CI/CD Deployment on AWS
3:36:41 Outro/ End of the Project
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