README.md
1Orange3-Educational
2===================
3
4Educational widgets for machine learning and data mining in
5[Orange](http://orange.biolab.si).
6
7**License: CC-BY-NC-3.0**
8
9In order to use this package commercially, please obtain a [Highcharts] license.
10
11[Highcharts]: http://www.highcharts.com/
12
13Widgets in Educational Add-on demonstrate several key data mining and machine learning procedures.
14The widgets are useful for beginners to understand the inner working of key algorithms in the data
15mining and for teachers to be able to visually explain various methods in a classroom.
16
17Installation
18------------
19
20To install the add-on with pip use
21
22 pip install Orange3-Educational
23
24To install the add-on from source, run
25
26 python setup.py install
27
28To register this add-on with Orange, but keep the code in the development directory (do not copy it to
29Python's site-packages directory), run
30
31 python setup.py develop
32
33Usage
34-----
35
36After the installation, the widgets from this add-on are registered with
37Orange. To run Orange from the terminal,
38use
39
40 python3 -m Orange.canvas
41
42new widgets are in the toolbox bar under Educational section.
43
README.pypi
1Orange3 Educational
2===================
3
4Widgets in Educational add-on demonstrate several key data mining and machine
5learning procedures. The widgets are useful for beginners to understand the
6inner working of key algorithms in the data mining and for teachers to be able
7to visually explain various methods in a classroom.
8See [documentation](http://orange3-educational.readthedocs.org/).
9
10Features
11--------
12#### Data access
13* read data from a Google Sheets spreadsheet
14* import data from EnKlikAnketa (1ka.si) public URL
15* generate random data
16
17#### Explain algorithms
18* show the working of a k-means clustering
19* show the gradient descent algorithm
20* interactively show regression line for different regressors
21