Computational Statistics and Machine Learning Techniques for Effective Decision Making on Student’s Employment for Real-Time

Volume: 9, Issue: 11, Pages: 1166 - 1166
Published: May 21, 2021
Abstract
The present study accentuated a hybrid approach to evaluate the impact, association and discrepancies of demographic characteristics on a student’s job placement. The present study extracted several significant academic features that determine the Master of Business Administration (MBA) student placement and confirm the placed gender. This paper recommended a novel futuristic roadmap for students, parents, guardians, institutions, and companies...
Paper Details
Title
Computational Statistics and Machine Learning Techniques for Effective Decision Making on Student’s Employment for Real-Time
Published Date
May 21, 2021
Volume
9
Issue
11
Pages
1166 - 1166
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.