Predict students dropout, academic success👨‍🎓📖

This table contains data on various factors related to students' academic success and dropout rates, such as marital status, previous qualifications, gender, age at enrollment, and economic indicators like unemployment rate, inflation rate, and GDP. It has 4424 rows and 36 columns of information, which can be used to analyze and predict the likelihood of students dropping out or achieving academic success based on these factors. (AI-generated)

Marital status, Application mode, Application order, Course, Daytime/evening attendance, Previous qualification, Nacionality, Mother's qualification, Father's qualification, Mother's occupation, Father's occupation, Displaced, Educational special needs, Debtor, Tuition fees up to date, Gender, Scholarship holder, Age at enrollment, International, Curricular units 1st sem (credited), ...