  Predicting the performance of students early and as accurately as possible is
one of the biggest challenges of educational institutions. Analyzing the
performance of students early can help in finding the strengths and weakness of
students and help the perform better in examinations. Using machine learning
the student's performance can be predicted with the help of students' data
collected from Learning Management Systems (LMS). The data collected from LMSs
can provide insights about student's behavior that will result in good or bad
performance in examinations which then can be studied and used in helping
students performing poorly in examinations to perform better.
