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Building a Student Intervention System

Supervised Learning Project

Template code

Open the template iPython notebook student_intervention.ipynb and follow along.

Dataset

Attributes for student-data.csv:

  • school - student's school (binary: "GP" or "MS")
  • sex - student's sex (binary: "F" - female or "M" - male)
  • age - student's age (numeric: from 15 to 22)
  • address - student's home address type (binary: "U" - urban or "R" - rural)
  • famsize - family size (binary: "LE3" - less or equal to 3 or "GT3" - greater than 3)
  • Pstatus - parent's cohabitation status (binary: "T" - living together or "A" - apart)
  • Medu - mother's education (numeric: 0 - none, 1 - primary education (4th grade), 2 – 5th to 9th grade, 3 – secondary education or 4 – higher education)
  • Fedu - father's education (numeric: 0 - none, 1 - primary education (4th grade), 2 – 5th to 9th grade, 3 – secondary education or 4 – higher education)
  • Mjob - mother's job (nominal: "teacher", "health" care related, civil "services" (e.g. administrative or police), "at_home" or "other")
  • Fjob - father's job (nominal: "teacher", "health" care related, civil "services" (e.g. administrative or police), "at_home" or "other")
  • reason - reason to choose this school (nominal: close to "home", school "reputation", "course" preference or "other")
  • guardian - student's guardian (nominal: "mother", "father" or "other")
  • traveltime - home to school travel time (numeric: 1 - <15 min., 2 - 15 to 30 min., 3 - 30 min. to 1 hour, or 4 - >1 hour)
  • studytime - weekly study time (numeric: 1 - <2 hours, 2 - 2 to 5 hours, 3 - 5 to 10 hours, or 4 - >10 hours)
  • failures - number of past class failures (numeric: n if 1<=n<3, else 4)
  • schoolsup - extra educational support (binary: yes or no)
  • famsup - family educational support (binary: yes or no)
  • paid - extra paid classes within the course subject (Math or Portuguese) (binary: yes or no)
  • activities - extra-curricular activities (binary: yes or no)
  • nursery - attended nursery school (binary: yes or no)
  • higher - wants to take higher education (binary: yes or no)
  • internet - Internet access at home (binary: yes or no)
  • romantic - with a romantic relationship (binary: yes or no)
  • famrel - quality of family relationships (numeric: from 1 - very bad to 5 - excellent)
  • freetime - free time after school (numeric: from 1 - very low to 5 - very high)
  • goout - going out with friends (numeric: from 1 - very low to 5 - very high)
  • Dalc - workday alcohol consumption (numeric: from 1 - very low to 5 - very high)
  • Walc - weekend alcohol consumption (numeric: from 1 - very low to 5 - very high)
  • health - current health status (numeric: from 1 - very bad to 5 - very good)
  • absences - number of school absences (numeric: from 0 to 93)
  • passed - did the student pass the final exam (binary: yes or no)

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Udacity 2nd project: student intervention system (Ipython + ML)

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