Team 7 - Student Performance Analysis Kit

This is a basic student performance analysis with predefined data using basics of machine learning. We used a predetermined dataset consisting of students marksheets. The output analysis is visualized using graphs for each subject and its chapters. It is done using K-Clustering algorithom which is an unsupervised learning algorithm. Here a subject mark's labels are grouped into one single cluster. This helps to analyse the student's performance and help him do better in upcoming exams

Libraries Used

We have used the below libraries to implement data analysis and to visualise student's data