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alphaolomi committed Oct 31, 2019
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# Ignore Mac DS_Store files
.DS_Store

*.zip
*.pyc
*.log
*.html

.ipynb_checkpoints/
63 changes: 63 additions & 0 deletions README.md
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# Project 2: Supervised Learning
## Building a Student Intervention System

### Install

This project requires **Python 2.7** and the following Python libraries installed:

- [NumPy](http://www.numpy.org/)
- [Pandas](http://pandas.pydata.org)
- [scikit-learn](http://scikit-learn.org/stable/)

You will also need to have software installed to run and execute an [iPython Notebook](http://ipython.org/notebook.html)

Udacity recommends our students install [Anaconda](https://www.continuum.io/downloads), i pre-packaged Python distribution that contains all of the necessary libraries and software for this project.

### Code

Template code is provided in the notebook `student_intervention.ipynb` notebook file. While some code has already been implemented to get you started, you will need to implement additional functionality when requested to successfully complete the project.

### Run

In a terminal or command window, navigate to the top-level project directory `student_intervention/` (that contains this README) and run one of the following commands:

```ipython notebook student_intervention.ipynb```
```jupyter notebook student_intervention.ipynb```

This will open the iPython Notebook software and project file in your browser.

## Data

The dataset used in this project is included as `student-data.csv`. This dataset has the following attributes:

- `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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