Students_Academic_ Performance_Evaluation_Dataset

31 features and 1195 individuals make up the publicly accessible dataset in a data repository. The Excel file that is part of the "Students Performance data set" folder contains the dataset. The 1195 rows and 31 columns of the Excel file provide information about the academic and non-academic data of the students. A student's question and response, gathered via an online survey form, are displayed in each row of an Excel file. The intended audience consisted of computer science and engineering department students at a private institution in Bangladesh.37,045 main data points were gathered via this survey. There are two categories of features: integer and nominal. Gender, merit scholarship, using university transportation, learning mode, English Skills, probation, suspension, faculty consultancy, relationship status, participation in extracurricular activities, living status political engagement, health issue, physical disability, SGPA, and CGPA are the nominal features. The HSC passing year, university admission year, study hours per day, frequency of study hours per day, social media time, and class attendance are the integer features.
Based on the present CGPA, SGPA, class attendance, daily study hours, frequency of study, social media time, and English proficiency, the targeted column, "student status," has been chosen.