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Basic Exploratory Data Analysis and predicting students grades using various libraries

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Student-grades-prediction

I have taken dataset of Student Alcohol Consumption of two classes: - one is of maths class and other is of portugese langauge class.

Data Dictionary

Attributes for both student-mat.csv (Math course) and student-por.csv (Portuguese language course) datasets:

  • school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira)
  • 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)

These grades are related with the course subject, Math or Portuguese:

  • G1 - first period grade (numeric: from 0 to 20)
  • G2 - second period grade (numeric: from 0 to 20)
  • G3 - final grade (numeric: from 0 to 20, output target)

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Basic Exploratory Data Analysis and predicting students grades using various libraries

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