Application of Machine Learning algorithms for betterment in education system

Machine learning is the process which converts the information into intelligent actions. This paper presents a literature review on application of different Machine Learning algorithms on huge amount of data collected by the academic institutes. Predictive analytics using the machine learning algorithms has become a new tool of this modern era, as it assists academic institutions in improving the retention and success rate of students and to get overview of performance before the examination to reduce the risk of failure. The main aim of the paper is to describe the various ways in which the machine learning is used in educational institutes and how institutes can get prediction of students' performance and the important features that are needed to be considered while making prediction for different things. In addition to this the study also compares the prediction given by different machine learning algorithms. Lastly the paper concludes that the prediction of the students' performance can be made more precise and accurate by considering the learning style of students, their motivation and interest, concentration level, family background, personality type, information processing ability and the way they attempt the exams.