Effects of co-curricular activities on student's academic performance by machine learning

Abstract The study project named Effects of Co-Curricular Activities on Student's Academic Performance Through Machine Learning examines the effect of co-curricular activities on a student's academic performance. The purpose of this study is to determine the relationship between extracurricular activities and student performance. Co-curricular activities are extracurricular activities that support and enhance the academic or core curriculum. They are a vital component of educational institutions' attempts to help students develop their personalities and improve classroom learning. However, a significant proportion of pupils in Bangladesh do not participate in such activities. One of the primary reasons is because many believe these activities would jeopardize a student's academic performance. This study's objective is to ascertain the actual effect of co-curricular activities on pupils. It was discovered that there is a positive correlation between co-curricular activities and academic performance using Logistic Regression using Python and Google Colab.