teddyoweh/College-Students-Clustering

Implementing Kmeans on a College Students database based on their iq and cgpa and using creating linear regression model to predict the clusters students belong to

20
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Experimental

This tool helps university administrators or academic advisors understand student groupings based on their IQ and academic performance (CGPA). By analyzing these two factors, it identifies distinct clusters of students. The output provides insights into these groups and can predict which cluster new students might belong to, aiding in tailored support or program development.

No commits in the last 6 months.

Use this if you want to categorize college students based on their intelligence and academic standing to better understand student populations and predict their group affiliation.

Not ideal if you need to analyze student performance using a wider range of factors beyond IQ and CGPA or require real-time, dynamic student segmentation.

academic-advising student-affairs higher-education student-segmentation university-administration
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 7 / 25

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Last pushed

Jul 16, 2022

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