User guide#
Skrub facilitates preparing tables for machine learning. It is not a replacement for tools such as SQL or pandas, as these tools are much more versatile. Rather it gives higher-level operations for machine-learning, typically with scikit-learn with its pipelines.
- Assembling: joining multiple tables
- Encoding: creating feature matrices
- Cleaning
- Development
- Vision: where is skrub heading?
- About
- Contributing to skrub
- Changes
- Ongoing development
- Before skrub: dirty_cat
- Dirty-cat release 0.4.1
- Dirty-cat Release 0.4.0
- Dirty-cat Release 0.3.0
- Dirty-cat Release 0.2.2
- Dirty-cat Release 0.2.1
- Dirty-cat Release 0.2.0
- Dirty-cat Release 0.2.0a1
- Dirty-cat Release 0.1.1
- Dirty-cat Release 0.1.0
- Dirty-cat Release 0.0.7
- Dirty-cat Release 0.0.6
- Dirty-cat Release 0.0.5