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Papers tagged with "Logistic"
UNVEILING MENTAL HEALTH DISORDERS THROUGH MACHINE LEARNING TECHNIQUE
Mental Health Disorders Remain A Significant Global Concern, Posing Challenges In Their Identification. Recent Years Have Witnessed Substantial Progress In The Field, Driven By Advancements In Diagnostic Techniques And Computational Methodo...
AN ANALAYSIS OF DISEASE PREDICTION ALGORITHMS
The Aim Of Using Machine Learning Algorithms For Disease Prediction Is To Immensely Help To Solve Health-related Problems By Assisting Physicians In Predicting And Diagnosing Diseases In An Early Phase. The Disease Prediction Methodology Is...
CARDIOVASCULAR DISEASES PREDICTION ANALYSIS USING MACHINE LEARNING ALGORITHMS
Cardiovascular Diseases(CVDs) Remain A Leading Global Cause Of Morbidity And Mortality. Early Detection And Accurate Risk Assessment Are Crucial For Effective Prevention And Intervention. This Study Presents A Comprehensive Machine Learning...
BITCOIN HEIST RANSOMWARE ATTACK PREDICTION USING MACHINE LEARNING
Bitcoin Is A Cryptocurrency, Or Digital Asset, That Operates Like Real Money And Can Be Used To Make Payments Without Being Controlled By Any One Person, Organisation, Or Other Entity. As A Result, It Eliminates The Need For Third Parties T...
HEART DISEASE PREDICTION USING MACHINE LEARNING
In Recent Times, Heart Disease Prediction Is One Of The Most Complicated Tasks In Medical Field. In The Modern Era, Approximately One Person Dies Per Minute Due To Heart Disease. Data Science Plays A Crucial Role In Processing Huge Amount O...
DETECTION OF BREAST-CANCER BY LOGISTIC REGRESSION USING MACHINE LEARNING
Cancer Is One Of The Major Leading Problems In The World. Around Millions Of People Are Being Infected With Cancer. There Is A Large Number Of Cancer Patients In This World. Cancer Is A Group Of Various Diseases Involving Abnormal Cell Clus...
CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING
The Development Of Technologies Like E-commerce And Financial Technology Apps Has Led To An Increase In The Daily Volume Of Online Card Transactions. The Ability To Misuse Credit Cards Has Also Increased. The Outcome Is An Increase In Credi...
BIG DATA ENABLED REAL TIME COLD CHAIN MONITORING IN A CONTAINER PORT
Domain Adaptation Is Proposed To Deal With The Challenging Problem Where The Probability Distribution Of The Training Source Is Different From The Testing Target. Recently, Adversarial Learning Has Become The Dominating Technique For Domain...
HEART DISEASE PREDICTION USING MACHINE LEARNING
In Recent Times, Heart Disease Prediction Is One Of The Most Complicated Tasks In Medical Field. In The Modern Era, Approximately One Person Dies Per Minute Due To Heart Disease.The Main Objective Of The Project Is To Develop A System For H...
DATA MINING FOR AUTOMATED PERSONALITY CLASSIFICATION
The Main Applications Of Personality Are In Leadership, Influence, Communication, Collaboration, Business Negotiation, And Stress Management. One Of The Key Characteristics That Affect How People Interact With The Outside Environment Is The...
DIABETES PREDICTION USING MACHINE LEARNING
Diabetes Is A Habitual Metabolic Illness That Affects Millions Of People Worldwide. The Early Discovery And Operation Of Diabetes Are Critical In Precluding Complications And Enhancing Patient Issues. Machine Learning Algorithms Have...
ANDROID MALWARE DETECTION USING EXTREME GRADIENT BOOSTING ALGORITHM
With The Rise Of Android Devices, Protecting Against The Surge Of Malicious Applications Has Become A Critical Concern For Device Security, Making Android Malware Detection An Essential Safeguard Against Potential Security Threats Like Malw...
INSURANCE CLAIM PREDICTION IN MACHINE LEARNING USING LOGISTIC REGRESSION ALGORITHM
Today, Data Is Carrying The Biggest Asset And Playing A Key Role In The Insurance Sector. The Insurance Sector Is Crucial In Today's World. More Information Is Available To Insurance Brokers Than Ever Before, This Research Paper Explores Th...
DEVELOPING AN ACCURATE AND RELIABLE FAKE NEWS DETECTION SYSTEM USING SUPPORT VECTOR MACHINE
Fake News Has Become A Significant Concern In Today's Digital World, Where Information Spreads Rapidly Across Social Media Platforms And Online News Sources. The Proliferation Of Fake News Can Lead To Serious Consequences, Such As Misinfo...
FORECASTING EMPLOYEE TURNOVER
Supervised Machine Learning Methods Are Described, Demonstrated And Assessed For The Prediction Of Employee Turnover Within An Organization. In Our Project, Numerical Experiments For Real And Simulated Human Resources Datasets Representing...