AdritPal08/EDA-and-ML-Model-Training-of-Student-Performance-Data
The Exploratory Data Analysis and Machine Learning Model Training for the Student Performance Data
This helps educators and administrators understand how various factors like gender, parental education, or test preparation influence student test scores. By inputting student demographic and background information, it outputs predictions and insights into student performance. Teachers, school administrators, and educational researchers can use this to identify at-risk students or evaluate program effectiveness.
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Use this if you need to predict student test performance based on demographic and educational background data and understand which factors are most influential.
Not ideal if you need to analyze qualitative student data or assess factors beyond the provided demographic and educational variables.
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Last pushed
Mar 22, 2023
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