Data Science Ontology

Welcome to the Data Science Ontology, with 153 data science concepts and 100 code annotations
The Data Science Ontology is a knowledge base about data science that aims to
  • catalog the concepts of data science
  • semantically annotate popular software packages for data science
  • power new AI assistants for data scientists
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Concepts

Concepts formalize the abstract ideas of data science.
Sample concept
Name
forward stepwise selection (forward-stepwise-selection)
Kind
type
Description
Forward stepwise selection, also known as forward stepwise regression, although it applies equally well to classification

Annotations

Annotations translate data science code into concepts
Sample annotation
Name
fit then transform (python/sklearn/fit-transform)
Kind
function
Language
python Python
Package
sklearn
Description
fit sklearn transformation model, then transform the data