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Papers tagged with "Feature Engineering"
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...
Intelligent Resume Analyzer: A Machine Learning Approach For Automated Resume Screening And Candidate Evaluation
We Spent A Fair Amount Of Time Watching How Recruiters Actually Screen Resumes Before Building This. What Struck Us Was Not The Speed — Six To Eight Seconds Per Resume Is Well-documented [1] — But How Much Of That Time Went To Things That H...
OPTIMIZED PREDICTIVE MODEL FOR INSURANCE CLAIM FRAUD DETECTION AND ANALYSIS USING MACHINE LEARNING
Insurance Fraud Causes Significant Financial Losses And Is Difficult To Detect Due To Its Similarity To Legitimate Claims. The Growing Volume Of Data And Increasing Fraud Complexity Make Automated Detection Essential. Machine Learning Provi...
Recognition Of Fraudulent Job Advertisements Using A Machine Learning Framework
The Rapid Growth Of Online Job Markets Has Led To A Rise In Fraudulent Postings, Causing Financial And Emotional Harm To Job Seekers. This Study Introduces An Intelligent Fraud Detection System Using Ensemble Machine Learning And NLP To Aut...
Flight Delays Prediction
Flight Delay Prediction Remains A Significant Challenge In Modern Air Transportation Management. This Paper Presents A Comparative Analysis Of Machine Learning Approaches—including Classification-based, Ensemble-based, And Hybrid Predictive...
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...
A DATA-DRIVEN APPROACH TO PLANT SUGGESTIONS USING SOIL HEALTH AND FOOD PRICE DATA
This Research Introduces A Data-driven Framework For Suggesting Suitable Plants By Analyzing Soil Health And Food Prices. It Aims To Enhance Agricultural Decision-making By Integrating These Factors. Through Data Collection, Preprocessing,...
GOSSIP DECTECTION IN MICROBLOGGING PLATFORMS
Microblogging Platforms Facilitate Fast And Frequent Communication Among Very Large Numbers Of Users. Gossips, Especially In Times Of Crisis, Tend To Spread Quickly, Causing Confusion, And Impair People’s Ability To Make Decisions. Hence, I...