A Review of Implementation and Obstacles in Predictive Machine Learning Model at Educational Institutions
Indra Ranggadara, Yunita Sartika Sari, Saruni Dwiasnati, Ifan Prihandi, Sfenrianto Sfenrianto · Journal of Physics Conference Series · 2020
Abstract Machine learning is a system that can learn by itself by using training data and testing data testing. In a variety of machine learning research has various obstacles in implementation especially in education institution, in its application, many things need to considered for more information to enrich research in the area of machine learning by way of comparing various obstacles in implementation in similar research. So that in this study is to find similarities and anticipations made in the initial stages of pre-processing to visualisation, as well as the contribution that can give in this study explains the best alternative for researching following the experience of several researchers in conducting machine learning research.