Utilizing Machine Learning Algorithms for Predictive Analysis of Student Performance: A Database-Integrated Approach

Abstract

This study embarks on an innovative project aimed at leveraging machine learning algorithms to analyze and predict students’ aca_x005fdemic performance. By extracting meaningful data from existing datasets and arranging it according to specific test sets, the project seeks to
develop a robust framework that facilitates a more personalized learning experience. Utilizing Python functions for database connectivity and
MySQL queries for data retrieval, the initiative efficiently structures and sorts data, paving the way for detailed comparative analyses to identify the most precise prediction methods. Subsequent efforts will focus on recommending suitable exercises to students based on predicted
scores and study times, enhancing the accuracy and effectiveness of learning strategies.