Education is essential in determining how a student's life will unfold. There are a lot of alternatives available to students when selecting a career path. As the cornerstone of the classification training system, factors like talents, abilities, family background, and type of schooling become critical in directing pupils toward a certain career track. A linear regression model is utilized in this chapter to clarify the complex relationships that exist between important demographic variables and academic achievement. This research adds to a thorough knowledge of the complex variables affecting students’ achievement and provides information for well-informed interventions and support techniques in the context of education. The study also explores how machine learning may improve the educational system.