PREDICTING STUDENT PERFORMANCE USING MACHINE LEARNING

Maria CRISTEI, Ghenadie MARIN, Victor STELEA Universitatea de Stat din Moldova

Abstract

At present, machine learning occupies an important place in artificial intelligence, and is concerned with the development of algorithms that allow an information system to learn data, rules, and algorithms. Automatic learning involves first and foremost the identification and implementation of a more efficient way of representing information in order to facilitate search, reorganization and change. In this respect, this article describes the utility and applicability of supervised automated learning techniques to prediction problems and their implementation in the development of computer applications. The elaborate application is unique in its way of executing the Machine learning prediction model. The methodology used in the developed application is mixed, including state-of-the-art complex technologies: the Jupyter Notebook development environment, the Python programming language along with its most popular bookkeeping libraries used in machine learning, Flask web application development tools. Keywords: mасhinе lеаrning, artificial intelligence, intelligent systems.