id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_wadj5fvobbbelpdhjpdsjvhz4q	Kandula Neha	Analysis of Student Academic Performance through Expert systems	2020	7	.pdf	application/pdf	3662	338	50	Analysis of Student Academic Performance through Expert systems Predicting the performance of students is one of the most important topics required for learning contexts in the activities of usual students which handle huge volumes of information collected from package tools show radically different trendy techniques widely applied to predict the success of students, along with the Keywords: Deep learning, Machine Learning, Prediction, Academic Performance, Analysis information science in education, students would data processing techniques area unit Neural Networks, Rules of association, Trees, classification algorithms based on neural networks. data sets and its strong success in classifying Data Mining Techniques: As several machine data to predict the students' performance and the scholars performing in academic data processing Prediction Model through Data algorithm to predict the students performance. Students' Academic Performance Dataset, Predicting Students' Academic [18].Student Academic Performance Prediction for Predicting Student Performance, for Predicting Student Performance, Conference on Educational Data Mining	./cache/work_wadj5fvobbbelpdhjpdsjvhz4q.pdf	./txt/work_wadj5fvobbbelpdhjpdsjvhz4q.txt