(sdgfi) student’s demographic and geographic feature identification using machine learning techniques for real-time automated web applications

HIGHLIGHTS

  • who: Chaman Verma and colleagues from the Department of Media and Educational Informatics, Faculty of Informatics, Eötvös Loránd University, Apex Institute of Technology, Chandigarh University, Mohali, Punjab, India have published the Article: (SDGFI) Student's Demographic and Geographic Feature Identification Using Machine Learning Techniques for Real-Time Automated Web Applications, in the Journal: Mathematics 2022, 10, 3093. of /2022/
  • what: It provides an overview of the main goal, relevant objectives, dataset information, feature's reliability and validity, feature selection, feature importance, and machine_learning algorithms. This study presented and implemented a novel predictive . . .

     

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