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) |
| TITLE | Employee Attrition & Turnover Prediction using Machine Learning Henil Jain, Pujan Kothari, Jainam Shah, Vashali Chavan Department of Computer Engineering, Shah & Anchor Kutchhi Engineering College, Mumbai, India DOI: 10.15680/IJIRCCE.2022.1004007 |
|---|---|
| pdf/LUZ41zcsrVwKRsncyu4J7Lkoyo6GHO2t83nfQj9e.pdf |
