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

Predicting Student Performance Using Personalized Analytics 

Ravindra Waghmare, Tejal Kale, Omkar Modgi, Megha Deshmukh

B.E Student, Dept. of Computer Engineering, Zeal College of Engineering and Research, Pune, India

DOI: 10.15680/IJIRCCE.2021.0905262

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