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Ran Lee

  • AEBS
  • US
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Ran Lee’s Impact in Data Science World

IMPACT SCORE: 3.64

RANK: 269

Project Quality 0.00%
Project Quality: it measures the quality of a project at various stages in the process including validity, reliability, and reproducibility.
Project Engagement 0.00%
Project Engagement: it measures the extent that a project helps to generate insights in other institutions.
Project Outcome 0.00%
Project Outcome: it measures the concrete changes that a project brings, like the revenue generated by the project.
Perceived Participation 0.14%
User Participation: it measures the degree of user involvement and participation in online and offline activities.
Perceived Capacity 30.00%
User Capacity: it measures the capacity (e.g., knowledge, skills) of a user that serves as the foundation of their personal impact.

Ran Lee’s Data Science Portfolio

Projects

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Please edit your profile to choose your top project(s)

Please edit your profile to choose your top project(s)

Ran Lee

  • AEBS
  • US