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Papers tagged with "Preprocess"
Forecasting Customer Turnover Using Machine Learning
Customer Churn Prediction Is An Essential Task For Telecommunication Companies To Reduce Customer Loss And Improve Retention.A Machine Learning System Is Proposed In This Paper To Predict Customer Churn By Using Customer Usage History. Fron...
Data Leakage Detection And Intelligent Data Preprocessing System
Data Leakage Is One Of The Most Critical Challenges In Machine Learning Systems, Leading To Unrealistic Model Performance And Poor Generalization In Real-world Applications. Leakage Occurs When Information From Outside The Training Dataset...
Enhanced Deepfake Detection Using Preprocessed Video Frames And Convolution Neural Networks
Digital Security And Authenticity Are Being Threatened By Deepfake Technology, Which Is Powered By Sophisticated Generative Models. A Convolutional Neural Network (CNN) Model Trained On Facial Data Taken From Video Frames Is Used In This St...
FAKE NEWS PREDICTION BASED ON NATURAL LANGUAGE PROCESSING(NLP) AND MACHINE LEARNING
The Rapid Dissemination Of Misinformation Across Social And Digital Media Platforms Has Created A Growing Demand For Automated Mechanisms To Detect And Prevent The Spread Of Fake News. This Paper Presents A Machine Learning–based Fake News...
Fraud Detection And Analysis For Insurance Claims Using Machine Learning
Insurance Fraud, Particularly In Claim Processing, Results In Billions Of Dollars In Losses Annually For Companies Worldwide. Manual And Rule-based Detection Mechanisms Are Often Inefficient In Detecting Sophisticated Fraud Schemes. This St...
CAR PRICE PREDICTOR: UNLOCKING INSIGHTS FOR USED CAR BUYERS AND SELLER
The Automotive Industry Is Witnessing A Paradigm Shift With The Increasing Demand For Used Cars. As Consumers Explore Cost-effective And Sustainable Transportation Options, The Valuation Of Used Cars Becomes A Critical Aspect Of The Buying...
Breast Cancer Detection Using Hybrid Ri-Vit In Histopathalogical Images
Breast Cancer Remains A Significant Global Health Concern, Impacting Millions Of Women Each Year. Timely Detection And Precise Diagnosis Are Essential To Enhancing Treatment Success And Lowering Death Rates. Histopathological Imaging Is Wid...
AUTOENCODER BASED CHURN PREDICTION IN TELCOM USING MACHINE LEARNING
Customer Churn Prediction Is A Critical Challenge In The Telecom Industry, Where Retaining Existing Customers Is More Cost-effective Than Acquiring New Ones. This Paper Explores The Development Of A Churn Prediction Model Using Machine Lear...
NLP APPROACH TO SENTIMENT ANALYSIS: A MACHINE LEARNING APPROACH FOR ANALYSING TWEETS
Sentiment Analysis A Technique Or Method That Is Commonly Used To Analyse The Sentiment Or Emotions Of People. This Is A Method That Is Applicable To All Occasions And This Is Also Applicable To The Global Pandemic Of The New Coronavirus (C...
DEEP LEARNING CLASSIFICATION OF OPTICAL COHERENCE TOMOGRAPHY RETINAL IMAGES
This Study Presents A Deep Learning Approach For The Classification Of Optical Coherence Tomography (OCT) Retinal Images To Identify Various Retinal Diseases, Including Acrima, Cataract, Glaucoma, And Normal Retina, Utilizing The ResNet-50...
SKIN CANCER DETECTION USING EFFICIENT NEURAL NETWORK AND DEEP LEARNING
Skin Cancer Is Considered As One Of The Most Dangerous Types Of Cancers And There Is A Drastic Increase In The Rate Of Deaths Due To Lack Of Knowledge On The Symptoms And Their Prevention. Skin Cancer Is A Significant Public Health Concern,...
AN OPTIMIZED STOCK MARKET PREDICTION USING LINEAR REGRESSION
Stock Market Prediction Is A Challenging Task Due To The Dynamic And Uncertain Nature Of The Market. Linear Regression Is A Commonly Used Machine Learning Technique For Predicting Stock Prices Because Of Its Simplicity And Effectiveness. I...
LANE AND VEHICLE DETECTION USING VGG-16 ALGORITHM FOR NEXT GENERATION OF FEATURES
Lane And Vehicle Detection Is A Crucial Component Of Many Advanced Driver Assistance Systems (ADAS) And Autonomous Driving Systems. By Accurately Identifying And Tracking Lanes And Vehicles, These Systems Can Help Improve Safety And Reduce...
TUMOR CELLS PREDICTION BY MACHINE LEARNING USING KNN ALGORITHM
The Goal Of The Project Is To Develop A Machine Learning Model That Can Accurately Predict The Presence Of Breast Tumor Cells In Medical Datasets Using The Knn Algorithm.This Model Will Be Trained On A Datasets Of Label Medical Numbers Allo...
HEART DISEASE PREDICTION USING MACHINE LEARNING
With The Rapid Advancement Of Technology And Data, The Healthcare Domain Is One Of The Most Prominent Research Fields In The Current Scenario. The Enormous Amount Of Patient Data Is Difficult To Manage. Big Data Analytics Manages Informatio...