Student Performance Prediction Using Machine Learning

Abstract

In our Research-Based Project, we are predicting student performance of students using a Machine Learning Algorithm. We have collected necessary data from the students through a Google form. We asked them several questions to them like their average CGPA, academic results, study hours, attendance percentage, etc. And using the machine learning algorithm we will predict that the student is good or bad according to their class performance, academic results, and overall CGPA. After collecting data through Google form we cleaned these data and also removed unnecessary data. We have selected some attributes and for that reason, we applied different algorithms. And we will apply different of algorithm operations and we will analyze the results. which one's accuracy is better. After analyze we can predict why students are performing good results badly why they are performing badly. For this project, we use Google co-lab. Through that, we are predicting the student's performance and also the student is good or bad. Besides we can predict also students’ upcoming CGPA, the probability of going for higher education.