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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@ trf = GaussianNoiseGenerator()
Xt, yt = trf.generate(X, y, noise_std=0.5)
```

More examples are available in the [tutorials](https://fraunhofer-iese.github.io/badgers/tutorials/Imbalance-Tabular-Data/) section.
More examples are available in the [tutorials](https://fraunhofer-iese.github.io/badgers/tutorials/tabular-data/Imbalance-Tabular-Data/) section.

The API documentation is also available in the [API](https://fraunhofer-iese.github.io/badgers/reference/badgers/) section.

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6 changes: 6 additions & 0 deletions docs/about.md
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Expand Up @@ -25,6 +25,12 @@ Julien Siebert, Daniel Seifert, Patricia Kelbert, Michael Kläs, Adam Trendowicz
}
```

## Read more

https://www.iese.fraunhofer.de/blog/badgers-open-source-python-bibliothek/ (German)

https://www.iese.fraunhofer.de/blog/datenqualitaet-machine-learning/ (German)

## Contributing to Badgers

Every contribution is welcome, please have a look at [dev-tutorials](../dev/Create-New-Tabular-Generators/) section and [CONTRIBUTING.md](https://github.com/Fraunhofer-IESE/badgers/blob/main/CONTRIBUTING.md) for more info.
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2 changes: 1 addition & 1 deletion docs/getting-started.md
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@ trf = GaussianNoiseGenerator()
Xt, yt = trf.generate(X, y, noise_std=0.5)
```

More examples are available in the [tutorials](../tutorials/Imbalance-Tabular-Data/) section.
More examples are available in the [tutorials](../tutorials/tabular-data/Imbalance-Tabular-Data/) section.

The API documentation is also available in the [API](../reference/badgers/) section.

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1 change: 0 additions & 1 deletion mkdocs.yml
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Expand Up @@ -50,7 +50,6 @@ plugins:
python:
options:
show_source: true
selection:
docstring_style: sphinx
- mkdocs-jupyter
watch:
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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -4,7 +4,7 @@ build-backend = "hatchling.build"

[project]
name = "badgers"
version = "0.0.11"
version = "0.0.12"
keywords = ["data quality", "bad data", "data science"]
authors = [
{ name = "Julien Siebert", email = "[email protected]" },
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