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Data Quality Wrapper

Project
18022 IVVES
Description
  • Automated EDA and preprocessing
  • Easy report generation and sharing
  • Educational component of the solution
Contact
Tijana Nikolic and Almira Pillay, Sogeti NL
Email
tia.nikolic@sogeti.com
Technical features

Input(s):

  • Tabular data (incl. synthetic)
  • Text data
  • Images
  • Audio files

Main feature(s):

  • Automated EDA of inputs
  • Automated preprocessing of tabular data into training data
  • Augmentation of audio and image files

Output(s):

  • EDA report
  • Training data
Integration constraints
  • App is deployed on Streamlit cloud and can freely be used
  • Adding new features in app requires coding them in
Targeted customer(s)

Students and ML practitioners.

Conditions for reuse

MIT license

Confidentiality
Public
Publication date
29-11-2022
Involved partners
Sogeti Nederland B.V. (NLD)