Predicting the Outcome of English Premier League Matches using Machine Learning

English Premier League (EPL) is the world's most popular football league. Since this is a prominent league, there has been a variety of preceding endeavors both commercially and scholastically to predict EPL match results. In this paper, machine learning, a promising tool of the fourth industrial revolution (Industry 4.0), has been used to introduce a model for predicting the outcomes of EPL matches both in multi-class (home, draw, and away) and in binary-class (home, and not-home) with the last five seasons football matches. We have employed five machine learning algorithms along with different machine learning techniques ranging from data pre-processing to hyper-parameter optimization which find the best results. In addition, the comparative results demonstrate that, our proposed model gives 70.27% accuracy in multi-class and 77.43% accuracy in binary-class compared to the best known existing models in the literature.