Prediction of Students’ Performance in Students’ Marks using Supervised Learning

The primary goal of an educational institution is to help in the growth of its students. Every Student needs proper attention but students who are below average needs special attention so that their performance can be improved. In this research, we will use machine learning algorithms to predict how many hours a student needs to study to score a certain desired percentage. Taking a dataset of students and then predicting their marks using the ‘Marks Predictor’ and then comparing it with the actual marks scored by them in their examination we can calculate the growth of students based on the difference between actual and predicted marks.