Analyzing the Student's Risk in using Electronic Gadgets using Hybrid Machine Learning Model as Case Study

An exhaustive deformation in the field of education made a mark in holding the electronic gadgets in the hands of the students for learning today due to the pandemic situation of Covid'19. Since education is the elemental process of every human, the educational institutions and the government put forward the learning procedure through virtual mode of learning. This made the chance of operating the electronic gadgets by the student community in a numerous way than the adults. Data analytics is the process of analyzing the data to infer certain predictions and patterns to make decisions in a better way in future. For data analytics the machine learning algorithms are the essential methods of handling data in predictive analytics. The machine learning algorithms are combined to form a hybrid approach for data analytics to improve the accuracy of the model. This paper reveals the hybrid approach of machine learning model to analyse the student data to analyse the risk of the students using the electronic gadgets during online learning.