2021 python projects list

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2021 python projects list A BI-OBJECTIVE HYPER-HEURISTIC SUPPORT VECTOR MACHINES FOR BIG DATA CYBER-SECURITY AN ARTIFICIAL INTELLIGENCE AND CLOUD BASED COLLABORATIVE PLATFORM FOR PLANT DISEASE IDENTIFICATION, TRACKING AND FORECASTING FOR FARMERS

Venkat Java Projects
Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com
Email:venkatjavaprojects@gmail.com
2021 PYTHON PROJECTS LIST
S.NO PROJECT TITLE DOMAIN
1 IDENTIFING OF FAKE PROFILES ACROSS ONLINE
SOCIAL NETWORKS BY USING NEURAL
NETWORK
ANN
2 AUTOMATING E-GOVERNMENT SERVICES WITH
MACHINE LEARNING AND ARTIFICIAL
INTELLIGENCE
AI
3 THE REACTION DATA ANALYSIS OF COVID 19
VACCINATIONS
ML
4 DETECTION OF FAKE NEWS THROUGH
IMPLEMENTATION OF DATA SCIENCE
APPLICATION
NLP
5 LOCAL COMMUNITY DETECTION ALGORITHM
BASED ON MINIMAL CLUSTER
6 IRIS RECOGNITION USING MACHINE LEARNING
TECHNIQUE
ML
7 HOSPITAL EXIGENCY FORECAST ML
8 AN ARTIFICIAL INTELLIGENCE AND CLOUD
BASED COLLABORATIVE PLATFORM FOR PLANT
DISEASE IDENTIFICATION, TRACKING AND
FORECASTING FOR FARMERS
AI
9 DATA ANALYSIS FOR UNDERSTANDING THE
IMPACT OF COVID–19 VACCINATIONS ON THE
SOCIETY
ML
10 SENTIMENT ANALYSIS OF CUSTOMER PRODUCT
REVIEWS USING MACHINE LEARNING
ML
11 TEXT AND IMAGE PLAGIARISM DETECTION ML
12 HONEY BEE IMAGE CLASSIFICATION NEURAL
NETWORKS
DL
13 A SYSTEMATIC REVIEW ON BACKGROUND
SUBTRACTION MODEL FOR DATA DETECTION
DL
14 CROP YIELD PREDICTION USING MACHINE
LEARNING ALGORITHM
ML

Venkat Java Projects
Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com
Email:venkatjavaprojects@gmail.com
15 PREDICTING THE GROWTH AND TREND OF
COVID -19 IN UK
ML
16 NUMBER PLATE DETECTION WITHOUT HELMET DL
17 AUTHENTICATION OF PRODUCT &
COUNTERFEITS ELIMINATION USING
BLOCKCHAIN
BLOCKCHAIN
18 AUTOMATIC DETECTION OF DIABETIC
RETINOPATHY USING CNN
DL
19 FAKE ACCOUNT DETECTION USING MACHINE
LEARNING AND DATA SCIENCE
ANN
20 MOVIE RECOMMENDATION SYSTEM USING
SENTIMENT ANALYSIS FROM MICROBLOGGING
ML
21 COMIC BOOK CLASSIFICATION USING ANN ANN
22 STUDENTS ATTENDANCE VISUALIZATION ANN
23 ELECTRICITY THEFT DETECTION IN POWER
GRIDS WITH DEEP LEARNING AND RANDOM
FORESTS
DL
24 MOUSE CURSOR CONTROL HANDSFREE DL
25 BLOCKCHAIN BASED CERTIFICATE VALIDATION BLOCKCHAIN
26 COVID_19
27 SOCIAL DISTANCING PRIDICTION USING OPENCV DL
28 PACKET INSPECTION TO IDENTIFY NETWORK
LAYER ATTACKS USING MACHINE LEARNING
DL
29 TOURIST PLACE REVIEWS SENTIMENT
CLASSIFICATION USING MACHINE LEARNING
TECHNIQUES
ML
30 FAKE REVIEW DETECTION ML
31 SKIN DISEASE DETECTION AND CLASSIFICATION
USING DEEP LEARNING ALGORITHMS
DL
32 FINGERPRINT COMPRESSION BASED ON SPARSE
REPRESENTATION
DL
33 CLASSIFICATION OF ONLINE TOXIC COMMENTS ML

Venkat Java Projects
Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com
Email:venkatjavaprojects@gmail.com
USINGMACHINE LEARNING ALGORITHMS
34 TWITTER AND RESEARCH: A SYSTEMATIC LITERATURE
REVIEW THROUGH TEXT MINING
ML
35 DATA ANONYMIZATION USING PSEUDONYM SYSTEM TO
PRESERVE DATA PRIVACY
DL
36 PREDICTING PERSONALITY FROM TWITTER ML
37 ABC ANALYSIS WITH MACHINE LEARNING ML
38 DETECTION OF CHILD PREDATORS CYBER HARASSERS ON
SOCIAL MEDIA
ML
39 A NOVEL ADAPTIVE RESOURCE ALLOCATION MODEL
BASEDON SMDP AND REINFORCEMENT LEARNING
ALGORITHM INVEHICULAR CLOUD SYSTEM
ML
40 HEART DISEASE PREDICTION SYSTEM ML
41 TWITTER TREND MINING ML
42 COVID-19 FUTURE FORECASTING USING SUPERVISED
MACHINE LEARNING MODELS
ML
43 ILLEGAL FISHING DETECTION ML
44 QUALITYRISK ANALYSISFORSUSTAINABLESMARTWATER
SUPPLY USING DATA PERCEPTION ML
45 TWITTER TREND MINING ML
46 IMAGE SEGMENTATION DL
47 HEART DISEASE PREDICTION ML
48 RESPIRATORY ANALYSIS DETECTION OF
VARIOUS LUNG INFECTIONS USING COUGH
SIGNAL
DL
49 A BI-OBJECTIVE HYPER-HEURISTIC SUPPORT
VECTOR MACHINES FOR BIG DATA CYBER-
SECURITY
ML
50 PHISHING-WEBISTE-DETECTION-USING-ML ML

This document contains a list of 146 Java projects from the company Venkat Java Projects related to various domains including cloud computing, service computing, data mining, mobile computing, dependable and secure computing, industrial informatics, emerging topics in computing, big data, and internet of things. The projects involve topics such as privacy-preserving techniques, machine learning, blockchain, healthcare, smart cities, and more. Contact information is provided for the company.

Latest python projects list

Venkat Projects

This document lists 50 Python projects from Venkat Java Projects related to artificial intelligence, machine learning, computer vision, and data science. The projects cover a wide range of topics including neural networks, image processing, sentiment analysis, anomaly detection, recommendation systems, and more. Each project listing includes a title, description of one to two sentences, and tags the project as using Python.

DOTNET TITLES 2014 FROM SHPINE TECHNOLOGIES

SHPINE TECHNOLOGIES

2020 and 2021 java Cloud computing

manjunath205

Pvr technologies 2014 java ieee project titles

Pvrtechnologies Nellore

This document lists 54 potential 2014 Java IEEE project titles. The titles cover a wide range of topics related to data mining, machine learning, cloud computing, privacy, security, networks, and databases. Some examples of project titles include "A Probabilistic Approach to String Transformation", "Privacy Preserving Delegated Access Control in Public Clouds", and "USING DATA MINING TECHNIQUES IN HEART DISEASE DIAGNOSIS AND TREATMENT". The document also provides contact information for PVR Technology.

2015 ieee projects in bangalore

Projectsatbangalore.com

This document lists 41 titles of IEEE projects from 2013-2014 related to .NET technologies. The titles cover a range of technical areas including wireless sensor networks, cloud computing, data mining, machine learning, computer security, and more. Some example titles are "A New Cell-Counting-Based Attack Against To", "Automatic Image Equalization and Contrast Enhancement Using Gaussian Mixture Modeling", and "Cashing in on the Cache in the Cloud".

2018 and 2019 java ieee projects list

tmksmanju1

2018 and 2019 java ieee projects list

tmksmanju1

An Android Application 2018 12 An Empirical Study of the Energy Consumption of Android Applications 2018 13 An Empirical Study of the Performance of Native Apps and Web Apps on Android 2018 14 An Empirical Study on the Performance of Native Apps and Web Apps on Android 2018 15 Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis 2018 16 Droid Fusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection 2018 17 Significant Permission Identification for Machine Learning Based Android Malware Detection 2018 18 Understanding In-app Ads and Detecting Hidden Attacks through the Assistant: An Android Application 2018 19 Ad Capsule: Practical Confinement of

The document lists 50 major Python projects across different domains including deep learning (DL), machine learning (ML), blockchain, and Django. The projects deal with topics such as computer vision, NLP, healthcare, finance, and more. They involve building models for tasks like image classification, object detection, sentiment analysis, fraud detection, and process automation using techniques like convolutional neural networks, random forests, and blockchain. Venkat Java Projects provides services for developing such projects.

PYTHON MAJOR PROJECTS LIST.pdf

Kotteshwari Mannupillai

2022 PYTHON PROJECTS LIST.docx

Venkat Projects

The document lists 50 Python project ideas from the domain of machine learning, deep learning, blockchain, and other technologies. The projects cover a wide range of applications including currency recognition, predicting rainfall, detecting extremist groups, fish disease detection, epilepsy detection, online inventory management, sign language recognition, blockchain applications for farming, object detection for the visually impaired, graphical password authentication, and more. The document provides the project title and domain for each idea.

IEEE Projects List.pdf

salauddin33

MachineLearningprojectlist-NexgenTechnology

Arudhra Innovations

In this article, we will explore an exciting project in the field of machine learning. We delve into the fascinating world of IEEE Machine Learning and discuss its implications for various industries. Stay tuned as we uncover the latest advancements and applications in this rapidly evolving field. Get ready to embark on a journey of discovery as we unravel the mysteries of machine learning through the lens of this groundbreaking project.

2022 and 2023 Python IEEE Projects List (1).docx

Websoft Technologies Pvt. Ltd.

The document lists 80 machine learning projects from 2022-2023 spanning various domains including air pollution prediction, fraud detection, malware detection, healthcare, recommendation systems, and more. Many of the projects apply machine learning techniques like deep learning, neural networks, graph convolutional networks to problems in domains like cybersecurity, healthcare, transportation, and social media analysis. The goals of the projects include prediction, detection, classification, and understanding of phenomena.

Java ieee 2020 21 projects list

Venkat Projects

The document lists 146 Java projects related to various domains including cloud computing, data mining, machine learning, cybersecurity, blockchain and more. The projects cover topics such as secure data sharing and storage in cloud, privacy-preserving techniques, distributed systems, social network analysis, malware detection, and industrial IoT applications. Venkat Java Projects provides these projects to students for their final year engineering projects.

2020 and 2021 Data Mining Projects

manjunath205

2020 and 2021 Cloud Computing Projects

manjunath205

2021- 22 IEEE JAVA Projects

MSR PROJECTS

Java Projects, Cloud Computing Projects, Networking Projects, Mobile Computing Projects, Bigdata Projects, MSR PROJECTS ( Now as a MSR EDUSOFT PVT LTD), #503,Annapurna Block, beside mytrivanam, Adhithya Enclave, Ameerpet, HYD-38. E-mail: msrprojectshyd@gmail.com, Web: www.msrprojectshyd.com , facebook.com/msrprojects , Ring on: 040 66334142, +91 9581464142. Branches: Hyderabad ( Ameerpet | Dilsuknagar) | Kurnool

1.AUTOMATIC DETECTION OF DIABETIC RETINOPATHY USING CNN.docx

Venkat Projects

12.BLOCKCHAIN BASED MILK DELIVERY PLATFORM FOR STALLHOLDER DAIRY FARMERS IN K...

Venkat Projects

10.ATTENDANCE CAPTURE SYSTEM USING FACE RECOGNITION.docx

Venkat Projects

This document describes a proposed attendance capture system using face recognition. The existing manual attendance systems are inefficient, but current automated systems using biometrics like face recognition have issues with accuracy and efficiency. The proposed system would use a PRISMA review method and facial recognition algorithms like machine learning and deep learning to capture and identify faces, record attendance, and store the data in a database. This system aims to provide high accuracy and efficiency compared to existing solutions.

9.IMPLEMENTATION OF BLOCKCHAIN IN FINANCIAL SECTOR TO IMPROVE SCALABILITY.docx

Venkat Projects

8.Geo Tracking Of Waste And Triggering Alerts And Mapping Areas With High Was...

Venkat Projects

Image Forgery Detection Based on Fusion of Lightweight Deep Learning Models.docx

Venkat Projects

6.A FOREST FIRE IDENTIFICATION METHOD FOR UNMANNED AERIAL VEHICLE MONITORING ...

Venkat Projects

This document proposes a new method for identifying forest fires using video images captured by unmanned aerial vehicles (UAVs). The current methods have poor real-time performance and low efficiency. The proposed method uses motion detection, background modeling, and texture/wavelet energy features to identify fire regions in UAV videos. It was tested on 9 sample images, achieving effective fire identification. This provides a better solution for remote forest fire monitoring and resource protection.

WATERMARKING IMAGES

Venkat Projects

The document discusses techniques for invisibly watermarking images to protect copyright. It proposes improving the accuracy and efficiency of an existing watermarking system that embeds an m-sequence spread spectrum signal as the watermark. The improved system embeds watermark bits in 8x8 pixel blocks with spacing between blocks to increase security and enable localization of any alterations to the image. This achieves higher accuracy and efficiency than the previous system.

4.LOCAL DYNAMIC NEIGHBORHOOD BASED OUTLIER DETECTION APPROACH AND ITS FRAMEWO...

Venkat Projects

Application and evaluation of a K-Medoidsbased shape clustering method for an...

Venkat Projects

OPTIMISED STACKED ENSEMBLE TECHNIQUES IN THE PREDICTION OF CERVICAL CANCER US...

Venkat Projects

The document discusses a study that used machine learning techniques to predict cervical cancer diagnosis. It used a cervical cancer risk factors dataset containing 858 records and 32 risk factors. It applied SMOTE to address data imbalance and the Firefly algorithm for feature selection, reducing the features to 15, 13, 11 and 11 for different diagnosis tests. It then used ensemble models like XGBoost, AdaBoost and Random Forest for classification, achieving the highest accuracy of 98.83% for the Hinselmann test using XGBoost with the selected features. The proposed models showed improved performance over other studies in cervical cancer prediction.

1.AUTOMATIC DETECTION OF DIABETIC RETINOPATHY USING CNN.docx

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The document lists 50 potential Python projects covering various domains including artificial intelligence, machine learning, deep learning, natural language processing and blockchain. The projects involve applying techniques such as neural networks, computer vision, sentiment analysis and more to tasks like detecting fake profiles, automating government services, analyzing COVID-19 data, predicting crop yields, recommending movies and detecting network attacks.

10.sentiment analysis of customer product reviews using machine learni

Venkat Projects

10.sentiment analysis of customer product reviews using machine learning In this project author is detecting sentiments from amazon reviews by using various machine learning algorithms such as SVM, Decision Tree and Naïve Bayes. In all 3 algorithms SVM is giving better accuracy and to train this algorithms author has used AMAZON reviews dataset and this dataset is saved inside ‘Amazon_Reviews_dataset’ folder. Below screen shot show example reviews from dataset

9.data analysis for understanding the impact of covid–19 vaccinations on the ...

Venkat Projects

9.data analysis for understanding the impact of covid–19 vaccinations on the society In this paper author analysing vaccines dataset to forecast required vaccines compare to manufacturing or available vaccines and by using this forecasting manufacturers may increase and decrease their manufacturing quantity. This forecasting can impact society by taking decision on manufacturing vaccines and if in society more cases occurred then forecasting will be high and by seeing forecasting manufacturers may increase production. Vaccines are manufacturing by multiple manufacturers such as JOHNSON AND JOHNSON, PFIZER and many more. In this forecasting will take all manufacturers and their production quantity as well as usage of vaccines and based on this Machine Learning algorithm called Decision Tree will forecast require vaccines for next 30 days To implement this project we are using vaccines dataset to train decision tree algorithm and then this algorithm will predict require vaccines quantity for next 30 days. This dataset is saved inside ‘Dataset’ folder and below screen showing some records from dataset

6.iris recognition using machine learning technique

Venkat Projects

This document describes an iris recognition project that uses a CNN model trained on the CASIA iris image dataset to recognize people. The CNN model is trained by extracting iris features from the CASIA images using Hough circle detection and achieves 100% accuracy on the training data. Graphs show the loss decreasing and accuracy increasing over epochs during training. The trained model can then be used to recognize people in new iris images by predicting the person ID. It correctly identifies test images from both outside the dataset and from within the CASIA images.

5.local community detection algorithm based on minimal cluster

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The document summarizes a thesis project on a local cluster-based community detection algorithm. It was submitted by Regalla Sairam Reddy to the University College of Engineering Kakinada in partial fulfillment of a Master of Computer Applications degree. The thesis was supervised by Dr. M.H.M Krishna Prasad and examines using a minimal cluster approach to detect local communities more effectively in complex networks compared to algorithms that start from a single initial node. The document includes declarations by the student and supervisor, as well as acknowledgments and outlines of the problem identification, methodology, technologies used, implementation, and conclusion.

4.detection of fake news through implementation of data science application

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This document describes a project that uses an LSTM recurrent neural network to detect fake news. It trains the LSTM model on a dataset of past news labeled as genuine or fake. The news texts are converted to TF-IDF vectors using n-grams before training. The trained model achieves 69.49% accuracy on the test data at predicting whether a new piece of news text is genuine or fake. Screenshots demonstrate data preprocessing, model training and evaluation, and testing the model on new news texts.

an efficient spam detection technique for io t devices using machine learning

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The document proposes a machine learning framework to detect spam on IoT devices. It evaluates five machine learning models on a dataset of IoT device inputs and features to compute a "spamicity score" for each device. This score indicates how trustworthy a device is based on various parameters. The results show the proposed technique is effective at spam detection compared to existing approaches.

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1) Existing cloud-based IoT management systems have limitations regarding storage demands, computation costs, and preventing unauthorized access through illegal key sharing. 2) The proposed system addresses these by removing storage dependency on access policies, outsourcing computation to clouds, and strictly forbidding unauthorized access via illegal key sharing using a novel CPABE construction and user-specific transformation keys. 3) The system architecture involves hardware requirements of an i3 processor, 40GB hard disk and 2GB RAM, and software requirements of a Windows OS, Java/J2EE coding, MySQL database, and the Netbeans IDE.

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2021 python projects list

1. Venkat Java Projects Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com Email:venkatjavaprojects@gmail.com 2021 PYTHON PROJECTS LIST S.NO PROJECT TITLE DOMAIN 1 IDENTIFING OF FAKE PROFILES ACROSS ONLINE SOCIAL NETWORKS BY USING NEURAL NETWORK ANN 2 AUTOMATING E-GOVERNMENT SERVICES WITH MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE AI 3 THE REACTION DATA ANALYSIS OF COVID 19 VACCINATIONS ML 4 DETECTION OF FAKE NEWS THROUGH IMPLEMENTATION OF DATA SCIENCE APPLICATION NLP 5 LOCAL COMMUNITY DETECTION ALGORITHM BASED ON MINIMAL CLUSTER 6 IRIS RECOGNITION USING MACHINE LEARNING TECHNIQUE ML 7 HOSPITAL EXIGENCY FORECAST ML 8 AN ARTIFICIAL INTELLIGENCE AND CLOUD BASED COLLABORATIVE PLATFORM FOR PLANT DISEASE IDENTIFICATION, TRACKING AND FORECASTING FOR FARMERS AI 9 DATA ANALYSIS FOR UNDERSTANDING THE IMPACT OF COVID–19 VACCINATIONS ON THE SOCIETY ML 10 SENTIMENT ANALYSIS OF CUSTOMER PRODUCT REVIEWS USING MACHINE LEARNING ML 11 TEXT AND IMAGE PLAGIARISM DETECTION ML 12 HONEY BEE IMAGE CLASSIFICATION NEURAL NETWORKS DL 13 A SYSTEMATIC REVIEW ON BACKGROUND SUBTRACTION MODEL FOR DATA DETECTION DL 14 CROP YIELD PREDICTION USING MACHINE LEARNING ALGORITHM ML

2. Venkat Java Projects Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com Email:venkatjavaprojects@gmail.com 15 PREDICTING THE GROWTH AND TREND OF COVID -19 IN UK ML 16 NUMBER PLATE DETECTION WITHOUT HELMET DL 17 AUTHENTICATION OF PRODUCT & COUNTERFEITS ELIMINATION USING BLOCKCHAIN BLOCKCHAIN 18 AUTOMATIC DETECTION OF DIABETIC RETINOPATHY USING CNN DL 19 FAKE ACCOUNT DETECTION USING MACHINE LEARNING AND DATA SCIENCE ANN 20 MOVIE RECOMMENDATION SYSTEM USING SENTIMENT ANALYSIS FROM MICROBLOGGING ML 21 COMIC BOOK CLASSIFICATION USING ANN ANN 22 STUDENTS ATTENDANCE VISUALIZATION ANN 23 ELECTRICITY THEFT DETECTION IN POWER GRIDS WITH DEEP LEARNING AND RANDOM FORESTS DL 24 MOUSE CURSOR CONTROL HANDSFREE DL 25 BLOCKCHAIN BASED CERTIFICATE VALIDATION BLOCKCHAIN 26 COVID_19 27 SOCIAL DISTANCING PRIDICTION USING OPENCV DL 28 PACKET INSPECTION TO IDENTIFY NETWORK LAYER ATTACKS USING MACHINE LEARNING DL 29 TOURIST PLACE REVIEWS SENTIMENT CLASSIFICATION USING MACHINE LEARNING TECHNIQUES ML 30 FAKE REVIEW DETECTION ML 31 SKIN DISEASE DETECTION AND CLASSIFICATION USING DEEP LEARNING ALGORITHMS DL 32 FINGERPRINT COMPRESSION BASED ON SPARSE REPRESENTATION DL 33 CLASSIFICATION OF ONLINE TOXIC COMMENTS ML

3. Venkat Java Projects Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com Email:venkatjavaprojects@gmail.com USINGMACHINE LEARNING ALGORITHMS 34 TWITTER AND RESEARCH: A SYSTEMATIC LITERATURE REVIEW THROUGH TEXT MINING ML 35 DATA ANONYMIZATION USING PSEUDONYM SYSTEM TO PRESERVE DATA PRIVACY DL 36 PREDICTING PERSONALITY FROM TWITTER ML 37 ABC ANALYSIS WITH MACHINE LEARNING ML 38 DETECTION OF CHILD PREDATORS CYBER HARASSERS ON SOCIAL MEDIA ML 39 A NOVEL ADAPTIVE RESOURCE ALLOCATION MODEL BASEDON SMDP AND REINFORCEMENT LEARNING ALGORITHM INVEHICULAR CLOUD SYSTEM ML 40 HEART DISEASE PREDICTION SYSTEM ML 41 TWITTER TREND MINING ML 42 COVID-19 FUTURE FORECASTING USING SUPERVISED MACHINE LEARNING MODELS ML 43 ILLEGAL FISHING DETECTION ML 44 QUALITYRISK ANALYSISFORSUSTAINABLESMARTWATER SUPPLY USING DATA PERCEPTION ML 45 TWITTER TREND MINING ML 46 IMAGE SEGMENTATION DL 47 HEART DISEASE PREDICTION ML 48 RESPIRATORY ANALYSIS DETECTION OF VARIOUS LUNG INFECTIONS USING COUGH SIGNAL DL 49 A BI-OBJECTIVE HYPER-HEURISTIC SUPPORT VECTOR MACHINES FOR BIG DATA CYBER- SECURITY ML 50 PHISHING-WEBISTE-DETECTION-USING-ML ML

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