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Browse free open source R Education Software and projects below. Use the toggles on the left to filter open source R Education Software by OS, license, language, programming language, and project status.

  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    Build gen AI apps with an all-in-one modern database: MongoDB Atlas

    MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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  • La version gratuite d'Auth0 s'enrichit ! Icon
    La version gratuite d'Auth0 s'enrichit !

    Gratuit pour 25 000 utilisateurs avec intégration Okta illimitée : concentrez-vous sur le développement de vos applications.

    Vous l'avez demandé, nous l'avons fait ! Les versions gratuite et payante d'Auth0 incluent des options qui vous permettent de développer, déployer et faire évoluer vos applications en toute sécurité. Utilisez Auth0 dès maintenant pour découvrir tous ses avantages.
    Essayez Auth0 gratuitement
  • 1
    Data Science Specialization

    Data Science Specialization

    Course materials for the Data Science Specialization on Coursera

    The Data Science Specialization Courses repository is a collection of materials that support the Johns Hopkins University Data Science Specialization on Coursera. It contains the source code and resources used throughout the specialization’s courses, covering a broad range of data science concepts and techniques. The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. It spans essential topics such as R programming, data cleaning, exploratory data analysis, statistical inference, regression models, machine learning, and practical data science projects. By providing centralized resources, the repo makes it easier for students to practice concepts and replicate examples from the curriculum. It also offers a structured view of how multiple disciplines—programming, statistics, and applied data analysis—come together in a professional workflow.
    Downloads: 1 This Week
    Last Update:
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