
Nidhi Nidhi
Data science researcher and educator
Summary
Work
Education
Writing
Comparative Analysis of Heterogeneous Ensemble Learning using Feature Selection Techniques for Predicting Academic Performance of Students
January 1, 2021Conference paper presenting a hybrid/heterogeneous approach combining correlation attribute evaluation, feature selection techniques, and ensemble learning methods (stacking, voting, MultiScheme) with multiple classifiers and k-fold cross-validation to improve prediction accuracy for students' academic performance.
Predictive Model for Students' Academic Performance Using Classification and Feature Selection Techniques
Work focused on building predictive models for student academic performance using classification algorithms and feature selection approaches (ResearchGate listing).
Novel Triazine Schiff Base-Based Cationic Gemini Surfactants
Journal article (co‑authored) on synthesis and properties of triazine-based cationic gemini surfactants; Nidhi Nidhi appears in the author list for related therapeutic/chemical studies.
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