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    • This material is an introduction to machin learning with Python. Topics are: Unsupervised Learning: dimensionality reductiong; unsupervised Learning: clustering; supervised Learning: basic methods; supervised Learning: using real data and preprocessing1
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84 materials found
  • course

    Cookiecutter software project template to kickstart a modern best-practice Python project with FAIR metadata

    fair metadata python programming language codemeta cff reuse citation
  • course

    Course: ResOps - Cloud-native Tools and Technology for Researchers

    reproducible environments cloud docker kubernetes version control gitlab
  • course

    Introduction to the Command Line for Metagenomics

    cli command line metagenomics shell scripts data project organization
  • course

    Introduction to R

    programming language R metagenomics
  • course

    Tutorial: Workflows - Combining Tools for Data Analysis

    computational workflows data analysis
  • course

    ENSEMBL REST API course

    ensembl rest api python R
  • course

    "Ten Reproducible Research Things" Tutorial

    version control documentation data quality backup security conventions structure automation persistent identifiers
  • course

    The Turing Way: A handbook for reproducible, ethical and collaborative research

    version control git licensing reproducible environments documentation quality testing continuous integration static code analysis
  • course

    “How Git Works” course on Pluralsight

    version control git github
  • course

    Introduction to User Experience Design

    user experience design uxd bioinformatics user experience ux biocuration biological data
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EVERSE Training Version: 0.1.2
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This project has received funding from the European Union’s Horizon Europe Programme under GA 101129744 — EVERSE — HORIZON-INFRA-2023-EOSC-01-02