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Papers tagged with "Boosting"
Predictive Power Machine Learning Models For Machine Failure Status
Predictive Maintenance Has Emerged As A Cornerstone For Maximizing Operational Efficiency And Minimizing Unexpected Machine Breakdowns In Industrial Environments. This Paper Presents An Integrated End-to-end Machine Learning Framework For F...
AI-BASED PREDICTIVE MODELING FOR CLASSIFICATION OF FETAL HEALTH CONDITIONS
Fetal Health Assessment Is A Critical Component Of Prenatal Care, Directly Influencing The Safety And Outcomes Of Both Mother And Fetus During Pregnancy. Conventional Diagnostic Approaches, Which Rely Heavily On Manual Interpretation Of Car...
Hybrid Intelligence For Financial Forecasting Uniting LSTM With XG Boost
Predicting Price Of Any Stock Is Difficult To Achieve Because Of Volatility Of Market Conditions. In Fraction Of Seconds Markets Go Up And Down, Fluctuations And Mood Of The Investor These Makes Traditional Methods Less Accurate To Predict....
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...
E-COMMERCE CUSTOMER CHURN ANALYSIS USING HYPER PARAMETERED TREE ALGORITHM
In This Study, We Employ The AdaBoost Algorithm In Conjunction With GridSearchCV To Analyze Customer Churn In E-commerce. AdaBoost Is A Boosting Algorithm That Combines Multiple Weak Learners To Create A Strong Predictive Model. GridSearchC...
AN COMPARATIVE ANALYSIS ON MACHINE LEARNING ALGORITHM EFFICIENCIES FOR PREDICTIVE MAINTENANCE IN INDUSTRIAL SETTINGS
This Research Paper Presents A Comprehensive Relative Analysis On Different Machine Learning Algorithms Edge For Prophetic Conservation Operations Within Industrial Settings. The Study Explores The Performance Of Algorithms Similar As Rando...
CROP AND FERTILIZER RECOMMENDATION BASED ON KNN AND BOOSTING MACHINE LEARNING ALGORITHMS
India Is Known As An Agricultural Country, Where The Recommendations Are Given By Traditional Methods. While Using These Traditional Methods There Is A High Level Of Failures. Variations In Weather, Climate, And Other Such Environmental Con...
PHISHING WEBSITE DETECTION
This Proposed Paper Is On The Detection Of Phishing Websites That Are Used To Steal Sensitive Information From Users. These URLs Are Usually Masked Using Emails With An Urgent Or Congratulatory Tone. This Generally Results In Leaking Of One...
SINGLE DC SOURCE NINE-LEVEL SWITCHED CAPACITOR BOOST INVERTER TOPOLOGY
Using A Single Dc Source And Two Switched Capacitors, This Study Provides A Novel Boost Inverter Structure With A Nine-level Output Voltage Waveform. Because The Capacitor Voltages Are Self-balancing, There Are No Sensors Or Extra Circuitry...
AN APPROACH FOR FRAUD TRANSACTION DETECTION USING BOOSTING MODEL
Nowadays Digitalization Gaining Popularity Because Of Seamless, Easy And Convenience Use Of Ecommerce. It Became Very Rampant And Easy Mode Of Payment. People Choose Online Payment And E-shopping; Because Of Time Convenience, Transport Conv...
HIGHER EDUCATION PREDICTION BY USING DATA MINING
Choosing An Appropriate Career Is A Standout Amongst The Most Vital Decisions And, As The Number Of Careers And Opportunities Increases, This Decision Has Become Rather Difficult For Students..This Can Prompt A Wrong Career Choice And There...
PERFORMANCE EVALUATION OF ENSEMBLE LEARNING ALGORITHM FOR VARIOUS BASE CLASSIFIERS
In Present Scenario Huge Amount Of Data And Information Is Available To Everyone Either Offline Or Online. Apart From Being Available On Web Or Offline, Different Kind Of Databases And Information Repository Offer Data Storage. With Such Hu...