Discover the official scikit-learn certifications
Probabl is the company behind scikit-learn and where data scientists come to learn, practice, validate, and discuss applied machine learning from preprocessing and pipelines to evaluation, robustness, and long-term maintainability.
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With Probabl, you stay close to how best practices are defined, debated, and stress-tested.
A place for Data Scientists who care about doing things right:
• Learn from peers and contributors.
• Share real-world lessons and pitfalls.
• Stay connected to evolving scikit-learn practices
Whiteboard sessions and technical talks on:
• Evaluation pitfalls and leakage
• Pipeline design and trade-offs
• Robustness and diagnostics
• Reasoning that doesn’t always fit in documentation
Short, high-signal content:
• Applied ML heuristics
• New learning material
• Talks, resources, and ecosystem updates
• No hype, no spam
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Skolar is our hands-on learning platform for applied machine learning.
• Structured modules aligned with real scikit-learn usage,
• Practical exercises you can reuse in your work
• Clear learning paths toward certification
• Content you can revisit as your responsibilities grow
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The official scikit-learn practitioner certifications assess your ability to apply machine learning correctly and robustly in realistic situations.
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Expert review and escalation for fragile ML systems:
• Versioning, modeling, pipelines, and evaluation
• Root-cause analysis of fragile behavior
• Guidance aligned with scikit-learn design
Hands-on help, from diagnosis to production.
• Audit · Ideate · Experiment · Scale
• Real systems, not slides
• Open-source, vendor-neutral
Structured evaluation to make model behavior explicit and debuggable.
• Evaluation beyond single metrics
• Clear comparisons and diagnostics
• Built for scikit-learn workflows
Fill out the form to share your organisation's needs, and we’ll get back to you.
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