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
dual coefficients (svm-dual-coefficients)
Kind
function
Description
Coefficients corresponding to the dual variables in the SVM optimization problem. Only the support vectors have nonzero dual coefficients.

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