• Kapil Saxena
• Shailesh Jaloree
• R.S.Thakur
• Sachin Kamley

The amount of data in the education field is growing rapidly day by day. It is very complicated task to manage this data and making predictions of performance from it. In order to retrieve meaningful information and facts, data mining software’s are used. Student performance prediction is an interesting task and gaining so much popularity due to competitiveness among education organizations. In this study, the well-known and efficient linear regression method is adopted to predict student performance. The main concern of this research study is to make use of this rich data set optimally to predict student performance and also help the academician, researchers and stack holders for improving the decision making quality. This research study also will be helpful to students as well as teachers to aware them and boosting the confidence so that they can gain better marks in the future.

Education Data Mining, GGC, Linear Regression, Prediction

"Linear Regression Technique for Student Academic Performance Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.222-226, August-2018, Available :http://www.jetir.org/papers/JETIRD006033.pdf

"Linear Regression Technique for Student Academic Performance Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp222-226, August-2018, Available at : http://www.jetir.org/papers/JETIRD006033.pdf