Data source: https://www.kaggle.com/aljarah/xAPI-Edu-Data
Academic background factors : Educational stages, grade, levels, course topic
Behavioral factors : Raised hand, visited resources, discussion groups, etc.
Demographic factors : Nationality, gender, place of birth, etc.
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Use EDA to analyze how each of the factors in above mentioned categories contribute individually to student's academic performance as well as finding correlation between factors.
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View feature importance of variables and build a predictive model using Decision Tree to predict a student's performance based on these factors.
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Evaluating performance of the model developed.