Contains datafiles and python scripts relating to different predictive models for student success.
- Data
- Contains our main data files. Grades for all CSSE students who graduated or were dismissed between 2013-2018.
- bayesian_network
- The WIP bayesian network.
- correlations_between_course_grades
- Spearman's ranked correlations for all courses in our dataset. Also has Bonferroni adjusted p-values and graphs for seemingly significant course correlations. Contains a script to generate a csv containing significant correlations between postrequisite and prerequisite courses.
- next_semester_gpa_prediction
- Predicting a student's next term gpa based off of their current term gpa.
- nth_semester_graduation_prediction
- Predicting whether a student will graduate or not based off of their 1st through nth term gpa.
- postrequisite_prediction
- Predicting a postrequisite course grade based on features related to grades from all or immediate prerequisite courses. Contains a script to generate a csv containing probabilities for prerequisite and postrequisite failure.