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This repository contains the solution presented by the CEOS team throughout all phases of the WDL competition. We finished the international competition in third position among 29 teams of best minds in Data Science.

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World Data League 2023 [TEAM: CEOS]

This repository contains the solution presented by the CEOS team throughout all phases of the WDL competition 2023. We finished the international competition in third position among 29 teams of best minds in Data Science.

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WDL is a International data-driven competition that aims to develop long-lasting solutions for social impact challenges. https://www.worlddataleague.com/

https://github.com/World-Data-League/wdl-solutions.git

Folder:

  • 1st_phase challenge: "Determining The Main Mobility Flows in the City of Lisbon Based on Mobile Device Data"
  • Semi_finals: "Avencas Marine Protected Area: Predict the future of the local ecosystem and its species"
  • Finals: "Energy communities inclusive of residents vulnerable to energy poverty"

Scripts/Files:

Eachs folder contains:

  • Challenge brief
  • The presented submission by CEOS (implemented mainly in Python)
  • Some (additional) data
  • Data exploration/visualization

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This repository contains the solution presented by the CEOS team throughout all phases of the WDL competition. We finished the international competition in third position among 29 teams of best minds in Data Science.

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