Orange3 Educational
Widgets in Educational add-on demonstrate several key data mining and machine learning procedures. The widgets are useful for beginners to understand the inner working of key algorithms in the data mining and for teachers to be able to visually explain various methods in a classroom. See documentation.
Features
Data access
- read data from a Google Sheets spreadsheet
- import data from EnKlikAnketa (1ka.si) public URL
- generate random data
Explain algorithms
- show the working of a k-means clustering
- show the gradient descent algorithm
- interactively show regression line for different regressors
6 maintainers
Release files for Orange3-Educational 0.8.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| orange3_educational-0.8.1.tar.gz | 3.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| orange3_educational-0.8.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.8 MB
Release files / orange3_educational-0.8.1.tar.gz
| Download URL | orange3_educational-0.8.1.tar.gz |
|---|---|
| Size | 3.7 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Release files / orange3_educational-0.8.1-py3-none-any.whl
| Download URL | orange3_educational-0.8.1-py3-none-any.whl |
|---|---|
| Size | 11.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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