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Dr. Shilpa Sardesai Presents Research on SML-Based Learner Performance Forecasting at ICCAML 2025

Dr. Shilpa Sardesai, Teaching Associate at SICSR, presented a research paper titled "An Extensive Investigation of Supervised Machine Learning (SML) Procedures Aimed at Learners’ Performance Forecast with Learning Analytics" at the International Conference on Computational Advances in Machine Learning (ICCAML 2025). The conference was held at SICSR on 25th–26th February 2025. Her work explored the application of supervised learning models within the domain of educational analytics, offering data-driven insights into forecasting student performance. The presentation highlighted her contribution to the intersection of machine learning and academic development.

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Dr. Sardesai presenting her paper at ICCAML 2025.

CURSOR 5.0 | VOLUME 7 ISSUE 2 JULY 2025

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