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Achievement: Pull Sharkx2Achievement: Pair Extraordinairex2Achievement: Quickdraw

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@carbonCostKaggle

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dmdequin/README.md
  • 👋 Hi, I’m Danielle Dequin
  • 👀 I’m interested in creating data science solutions that use carbon-conscious ML.
  • 🌱 I’m currently doing machine learning research at the University of Deusto.
  • 💞️ I’m looking to collaborate on data engineering and ML projects.
  • 📫 You can reach me via LinkedIn.
  • 🦊 My GitLab projects can be found here.

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  1. sarcopenia_and_machine_learning sarcopenia_and_machine_learning Public

    Exploring determinant factors influencing muscle quality and sarcopenia in Bilbao's older adult population through machine learning: A comprehensive analysis approach.

    Jupyter Notebook 1

  2. de_zoomcamp de_zoomcamp Public

    Data Engineering Zoomcamp course assignments and notes.

    HCL 1

  3. msisdn-app-api msisdn-app-api Public

    A web API in Python using Django with a basic front end where users can search the database. The project was done using DevOps tools and methodologies.

    Python

  4. sentiment_analysis sentiment_analysis Public

    Exploring data volume needed to fine-tune a model for cross-domain sentiment analysis, as well as the impact of data selection.

    Jupyter Notebook

  5. carbonCostKaggle/carbon-cost-kaggle carbonCostKaggle/carbon-cost-kaggle Public

    Investigating the carbon cost of machine learning competitions that use medical image datasets.

    Jupyter Notebook 1

  6. ContainerMaintainers/MiniTwit-Golang ContainerMaintainers/MiniTwit-Golang Public

    A Golang Gin refactor of the MiniTwit application using DevOps tools and methodologies.

    Go 2