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This work is licensed under a Creative Commons Attribution 4.0 International License.
Analyzing PG Student Performance Using Deep Learning
Ms. Neeta Takawale, Mrs. Asmita Kurhade
DOI: 10.17148/IJARCCE.2025.14464
Abstract: This study uses deep learning techniques to predict the academic performance of postgraduate (PG) students. By analyzing data such as grades, attendance, and online activity, we trained models like Deep Neural Networks (DNN) and Recurrent Neural Networks (RNN). Results show DNN achieving approximately 89% accuracy, making it an effective tool for early intervention.
Keywords: Deep Learning, DNN, RNN, Data Mining.
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This work is licensed under a Creative Commons Attribution 4.0 International License.How to Cite:
[1] Ms. Neeta Takawale, Mrs. Asmita Kurhade, βAnalyzing PG Student Performance Using Deep Learning,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14464