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’s Performance Analysis and Prediction Using Random Forest Algorithm Madhura Pradeep Banarase, Sarvesh Omprakash Sharma, Bhagyashri Bhagawan Giri, Tushar Machhindra Kalaskar, Prof. R.A. Meshram UG Student, Dept. of Computer Science and Engineering, Prof. Ram Meghe Institute of Technology and Research, Badnera, Amravati, India UG Student, Dept. of Computer Science and Engineering, Prof. Ram Meghe Institute of Technology and Research, Badnera, Amravati, India UG Student, Dept. of Computer Science and Engineering, Prof. Ram Meghe Institute of Technology and Research, Badnera, Amravati, India UG Student, Dept. of Computer Science and Engineering, Prof. Ram Meghe Institute of Technology and Research, Badnera, Amravati, India Assistant Professor, Dept. of Computer Science and Engineering, Prof. Ram Meghe Institute of Technology and Research, Badnera, Amravati, India DOI: 10.15680/IJIRCCE.2022.1005090 |
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