International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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AN IN-DEPTH ANALYSIS OF SOCIO-ECONOMIC FACTORS IMPACTING STUDENT PERFORMANCE: A MACHINE LEARNING APPROACH

    1 Author(s):  MS. JAYMALA KULKARNI

Vol -  15, Issue- 4 ,         Page(s) : 379 - 384  (2024 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

The educational landscape is dynamic, with numerous factors influencing student performance. This study investigates the multifaceted aspects affecting students and employs cutting-edge Machine Learning (ML) and Deep Learning (DL) algorithms to construct predictive models.

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Smith, J. A. (2021). Deep learning applications in child psychology: A comprehensive review. Journal of Child Psychology and Psychiatry, 30(2), 45-60.

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