Student Performance Prediction using Machine Learning

Education is very important issue regarding development of a country. The main objective of educational institutions is to provide high quality education to its students. One way to accomplish this is by predicting student's academic performance and thereby taking early steps to improve student's performance and teaching quality.

This system aims to predict student's marks using linear regression. The idea behind this analysis is to predict the marks of students by their studying hours Through this project we can determine:

• How many hours need to do the study to get 99% marks

• If I will do study x() hours per day so how much marks I will get

Through these points the school can determine the performance of the student.

To implement this model we are using Jupyter Notebook which is an open web source application.

The ultimate goal of any educational institution is offering the best educational experience and knowledge to the students. Identifying the students who need extra support and taking the appropriate actions to enhance their performance plays an important role in achieving that goal. In this research, four machine learning techniques have been used to build a classifier that can predict the performance of the students in a computer science subject that is offered by Marwadi University (MU), College Of Humanities. Lets see