About Scikit-learn
Scikit-learn is a Technology company based in Paris (France) founded in 2007. An open-source machine learning library for Python, enabling advanced data analysis and modeling. It operates on a Open Source model. Its focus areas include Software Development, Machine Learning and Open-Source Libraries.
Company details
Scikit-learn an open-source machine learning library for python, enabling advanced data analysis and modeling, focusing on leveraging cutting-edge technology, creating custom software solutions, implementing machine learning models, and open-source libraries. It serves clients with dedicated solutions, emphasizing quality, innovation, and sustainable growth in its core markets.
- Headquarters Paris, France
- SectorsTechnology
- Website scikit-learn.org
- Social X
Web traffic of Scikit-learn
Websites that share an audience with Scikit-learn (scikit-learn.org).
Websites whose visitors overlap most with Scikit-learn. Affinity shows how closely the audiences match.
| Website | Domain | Audience affinity | Monthly visits | Global rank | Profile |
|---|---|---|---|---|---|
| kaggle.com | 96% | 10.5M | #3,720 | View details | |
| plotly.com | 92% | 624.5K | #82,168 | View details | |
| analyticsvidhya.com | 91% | 1M | #56,698 | View details | |
| neptune.ai | 91% | 293.8K | #149,242 | View details | |
| domino.ai | 90% | 107.8K | #364,955 | View details | |
| •••••••••• | ••••••.com | ••% | •.•M | #••••• | – |
| •••••••••• | ••••••.com | ••% | •.•M | #••••• | – |
| •••••••••• | ••••••.com | ••% | •.•M | #••••• | – |
All 16 similar websites and full traffic analytics for Scikit-learn
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- 16 similar websites
- Audience overlap
- Engagement analytics
- Traffic by brand
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Frequently Asked Questions about Scikit-learn
Scikit-learn was founded in 2007.
Scikit-learn is headquartered in Paris, France.
Scikit-learn an open-source machine learning library for python, enabling advanced data analysis and modeling, focusing on leveraging cutting-edge technology, creating custom software solutions, implementing machine learning models, and open-source libraries. It serves clients with dedicated solutions, emphasizing quality, innovation, and sustainable growth in its core markets.