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Feature/tubular #75

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38655c3
added tubular to feature engineering section
liamholmes31 Dec 3, 2025
9c6f2fe
fixed typo in narwhals link for tubular entry
liamholmes31 Dec 3, 2025
d309a8d
fixed typo in narwhals link for tubular entry
liamholmes31 Dec 3, 2025
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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -382,6 +382,7 @@
* [dirty_cat](https://github.com/dirty-cat/dirty_cat) - Machine learning on dirty tabular data (especially: string-based variables for classifcation and regression). <img height="20" src="img/sklearn_big.png" alt="sklearn">
* [NitroFE](https://github.com/NITRO-AI/NitroFE) - Moving window features. <img height="20" src="img/sklearn_big.png" alt="sklearn">
* [sk-transformer](https://github.com/chrislemke/sk-transformers) - A collection of various pandas & scikit-learn compatible transformers for all kinds of preprocessing and feature engineering steps <img height="20" src="img/pandas_big.png" alt="pandas compatible">
* [tubular](https://github.com/azukds/tubular) - Collection of scikit-learn compatible transformers written in [narwhals]( https://github.com/narwhals-dev/narwhals), which can accept either polars/pandas inputs and utilise the chosen library under the hood. <img height="20" src="img/sklearn_big.png" alt="sklearn"><img height="20" src="img/pandas_big.png" alt="pandas compatible">


### Feature Selection
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