International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| papers | Employee
Turnover Prediction Using Machine Learning Prof.Neelam Gaikwad, Bhirud Gunjan, Barhe Harshal, Dendage Kishor,
Shelar Pramod, Barole Chaitanya Assistant
Professor, Dept. of Computer Engineering, GS Moze College of Engineering,
Balewadi Pune, India UG
Student, Dept. of Computer Engineering, GSMCOE, Savitribai Phule Pune
University, India
DOI:
10.15680/IJIRCCE.2023.1111031 |
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| pdf/0mtKJGoLCixYaZ8vFY6qEHjckdldVMB86XcglJ8h.pdf |
