Skip to content

Creating a Website that has Machine Learning feature to predict Students Performance segmentation (using Clustering Model)

Notifications You must be signed in to change notification settings

Arckitechttt/ML-Flask

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Machine Learning - Flask

Created a website that has machine learning feature in it which can perform segmentation/clustering/grouping on students in America based on the StudentsPerformance.csv dataset. Student segmentation is a practice of separating students into groups/segments/clusters that have similar characteristics with other students in each cluster. In the process, students will be divided into several segments/groups/clusters to find the right teaching techniques for each student in each segment so that each student can get the right and appropriate teaching technique according to their own characteristics to achieve better exam results. In addition, this will also help students meet their learning needs as a student. Therefore, student segmentation will be very beneficial for both students and schools.

About

Creating a Website that has Machine Learning feature to predict Students Performance segmentation (using Clustering Model)

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published