Exploratory Data Analysis for Predicting Student’s Grades

Over the period, the academic level of the students has improved. However, it is found in many research studies that students find it difficult in getting success in some core courses like Mathematics and Reasoning. The recent development in machine learning techniques and various data mining tools has made it possible to extract useful information from the available raw data. This research paper analyzes the student performance dataset available on the University of California, Irvine (UCI) Machine Learning Repository. The student’s grades are predicted using various machine learning techniques using Python programming in Jupyter Notebook.