EDUCATION DATA MINING FOR PREDICTING STUDENTS' PERFORMANCE

In the research field, Educational Data Mining (EDM) will be used in various important approaches such as Data Mining (DM), Machine Learning (ML), predicting and statistical analysis in the educational sector. The main goal of mining in the field of education is to develop better mechanisms for analyzing student performance by using the suitable algorithms and techniques. The previous academic performances, in-course performance, student's demographic status, and knowledge test can be used for the prediction of future performances. This analysis helps the students, organizations, mentors, teachers to improve the students' performance in their respective field of education and for successful student life. This research is intended to predict the performance of the Engineering students by analyzing various results obtained from different machine learning algorithms and other analytical tools.

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