The data mining technique (DMT) extracts the core idea and existing knowledge from the available data. Machine learning algorithms are one of the most popular techniques for learning patterns through machines. Only grades and demographic information were used in the current literature review to assess teaching and evaluate a student’s academic success. To evaluate the relationship between students’ academic performance and the faculty's effectiveness as teachers, this study will provide enough discussion about utilizing machine learning algorithms in assessing student performance. The study’s findings show that neural networks are one of the best algorithms for forecasting students’ performance based on instructor and class characteristics. Using machine learning algorithms—Neural Networks in particular—offers significant administrative implications for school administration. These algorithms are a priceless resource for decision support; they help teachers spot children who might perform poorly and schedule interventions promptly.