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
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.
Stars
10
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 16, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/teddyoweh/College-Students-Clustering"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scikit-learn-contrib/hdbscan
A high performance implementation of HDBSCAN clustering.
annoviko/pyclustering
pyclustering is a Python, C++ data mining library.
panagiotisanagnostou/HiPart
Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.
erdogant/clusteval
Clusteval provides methods for unsupervised cluster validation
mqcomplab/MDANCE
MDANCE: O(N) clustering for molecular dynamics. Process 1.5M frames in 40min. 8 specialized algorithms.