Recommendation system to improve students performance using machine learning

Abstract

For any educational institutes, students are a crucial asset so as to supply graduates of great quality. To achieve this, it is becoming essential for every college, school or any other scholastic institute to examine the performance of students. Due to the unbelievabledevelopment in recent technology like social media, it's going to prevent the students from their concrete track, and this is often one among the explanations for the students to accomplish poor in academic accomplishments and it even results in course drop outs. Predicting student's performance will attentive the learner to know about their performance and it provides as a gamble to increase their performance in future. However academic performance may differ from student to student as every student has diverse level of performance. It becomes difficult to research student data by relating statistical techniques or other outdated management tools. Hence there's a requirement to develop an automatic machine learning tool for student performance analysis that might analyze student performance and can guide them by displaying the suggestions where they need improvement.