ammarlodhi255/student_performance_indicator_end-to-end_implementation
An end-to-end machine learning project, student performance indicator. The goal of this project is to understand the influence of the parents background, test preparation, and various other variables on the students performance.
This tool helps educators, school administrators, or educational researchers understand what factors influence a student's math performance. By inputting information like a student's gender, ethnicity, parents' education, lunch type, test preparation, reading score, and writing score, it predicts their potential math score. It's designed for anyone needing insights into academic outcomes.
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Use this if you want to identify key factors that predict a student's math performance, helping you tailor interventions or support programs.
Not ideal if you need to predict performance for subjects other than math, or if you require a system that incorporates real-time classroom data.
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Last pushed
Apr 15, 2023
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