Student Mark Predictor This project focuses on developing a student marks prediction system using Python, combining data analysis and machine learning techniques to forecast student performance based on various influencing factors. The goal is to create an accurate, reliable, user-friendly tool that helps educators identify at-risk students and implement timely interventions.Predicting student marks is a complex task involving numerous variables, including attendance, study hours, previous academic performance, socioeconomic status, parental education, and other behavioral and environmental factors. These factors collectively impact a student's ability to succeed academically. Traditional assessment methods, such as examinations and assignments, often fail to capture the complete picture of a student’s performance. Therefore, a more comprehensive approach, such as predictive modeling, can provide deeper insights into a student’s potential outcomes. The Python pro...