• Prasadu Peddi
• Dr. Akash Saxena

Particularly in various regions of India, it seems that you are emphasising the need of gathering and analysing data to comprehend student performance in all its aspects. The paper highlights predictive modelling as an effective approach for enhancing student performance by identifying the root causes of issues and implementing efficient management strategies. Additionally, you mention the potential for this endeavour to provide outcomes that might inform strategies for improving students' performance and measure the effectiveness of interventions. Data analysis may uncover a vital aspect: the impact of educational tools and resources on student achievement. The use of data-driven insights to inform decision-making and enhance outcomes has seen a recent increase in several sectors, including education.

Data Mining, Big data, Prediction.

"EXPLORING THE IMPACT OF DATA MINING AND MACHINE LEARNING ON STUDENT PERFORMANCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 6, page no.314-318, November-2014, Available :http://www.jetir.org/papers/JETIR1701B47.pdf

"EXPLORING THE IMPACT OF DATA MINING AND MACHINE LEARNING ON STUDENT PERFORMANCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 6, page no. pp314-318, November-2014, Available at : http://www.jetir.org/papers/JETIR1701B47.pdf