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Add links to projects and demo
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_posts/2025-06-30-probabl-skolar.md

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@@ -53,12 +53,13 @@ Probabl—the MOOC has reached over 40,000 learners worldwide, clearly
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highlighting the demand for organized, hands-on resources that blend theory with
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real-world practice.
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Today, Probabl is excited to introduce Skolar, a new, fully open-source
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educational initiative, built directly from your feedback and all the lessons
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we've learned along the way. Developed and extended by those same core
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developers of scikit-learn, Skolar is designed specifically for data science
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practitioners, offering hands-on, high-quality learning resources grounded in
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real-world applications and open-source values.
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Today, Probabl is excited to introduce
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[Skolar](https://app.arcade.software/share/vCN6ik9dR22zD35XP5a7), a new, fully
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open-source educational initiative, built directly from your feedback and all
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the lessons we've learned along the way. Developed and extended by those same
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core developers of scikit-learn, Skolar is designed specifically for data
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science practitioners, offering hands-on, high-quality learning resources
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grounded in real-world applications and open-source values.
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Skolar exists to boost our shared values: openness, teamwork, and practicality.
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It offers clear, interactive tutorials and structured courses carefully designed
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education in data science.
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Create your account on Skolar today: https://skolar.probabl.ai
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Contribute to the [scikit-learn course
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contents](https://github.com/probabl-ai/scikit-learn-course), or contribute to
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the learning platform's [backend](https://github.com/France-ioi/AlgoreaBackend)
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or [frontend](https://github.com/France-ioi/AlgoreaFrontend).

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