Adding feature-engine to the machine learning collection.
Features:
320k + downloads per month
2k+ github stars
50 contributors
10k+ doc views per month
What is this Python project?
Most exhaustive collection of transformers for feature engineering including: imputation, categorical encoding, discretization, transformation, feature creation.
Feature engine also contains the widest library of feature selection methods after sklearn.
What's the difference between this Python project and similar ones?
The feature selection methods are not present elsewhere in the python ecosystem.
Many of the feature transformation and creation methods are also not present in other python libraries.
It enriches sklearn capabilities dramatically by adding additional tools to transform and select variables.
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/2724
**Author:** [@solegalli](https://github.com/solegalli)
**Created:** 6/28/2025
**Status:** ✅ Merged
**Merged:** 1/11/2026
**Merged by:** [@vinta](https://github.com/vinta)
**Base:** `master` ← **Head:** `patch-1`
---
### 📝 Commits (3)
- [`e015238`](https://github.com/vinta/awesome-python/commit/e0152380d4da96812cc88f8ac0e32763443a4aa7) add machine learning library
- [`3f0dda1`](https://github.com/vinta/awesome-python/commit/3f0dda11777f8f6aa6fae1936157e695bb6536dd) make changes as requested README.md
- [`a4ea52b`](https://github.com/vinta/awesome-python/commit/a4ea52bc6f2424a0ef32431c0e19a7782b92fba5) Merge branch 'master' into patch-1
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
Adding feature-engine to the machine learning collection.
Features:
- 320k + downloads per month
- 2k+ github stars
- 50 contributors
- 10k+ doc views per month
## What is this Python project?
Most exhaustive collection of transformers for feature engineering including: imputation, categorical encoding, discretization, transformation, feature creation.
Feature engine also contains the widest library of feature selection methods after sklearn.
## What's the difference between this Python project and similar ones?
The feature selection methods are not present elsewhere in the python ecosystem.
Many of the feature transformation and creation methods are also not present in other python libraries.
It enriches sklearn capabilities dramatically by adding additional tools to transform and select variables.
--
Anyone who agrees with this pull request could submit an *Approve* review to it.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/2724
Author: @solegalli
Created: 6/28/2025
Status: ✅ Merged
Merged: 1/11/2026
Merged by: @vinta
Base:
master← Head:patch-1📝 Commits (3)
e015238add machine learning library3f0dda1make changes as requested README.mda4ea52bMerge branch 'master' into patch-1📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
Adding feature-engine to the machine learning collection.
Features:
What is this Python project?
Most exhaustive collection of transformers for feature engineering including: imputation, categorical encoding, discretization, transformation, feature creation.
Feature engine also contains the widest library of feature selection methods after sklearn.
What's the difference between this Python project and similar ones?
The feature selection methods are not present elsewhere in the python ecosystem.
Many of the feature transformation and creation methods are also not present in other python libraries.
It enriches sklearn capabilities dramatically by adding additional tools to transform and select variables.
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.