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scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
15,798
companies
Technoloy Usage Stadistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
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You can export his data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
There are 202 alternatives to scikit-learn
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scikit-learn is used in 100 countries
Technology
is any of
scikit-learn
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
United States | Software Development | 9.7K | $600M | scikit-learn | |
United Kingdom | Technology, Information And Internet | 874 | $5.3M | scikit-learn | |
United States | Software Development | 190 | $6M | scikit-learn | |
United States | Software Development | 5.9K | $777M | scikit-learn | |
Canada | Software Development | 34K | $6.6B | scikit-learn | |
United States | Financial Services | 2.6K | $1.2B | scikit-learn | |
United States | Software Development | 8.7K | $2.2B | scikit-learn | |
United States | Software Development | 162 | $3.8M | scikit-learn | |
It Services And It Consulting |
| scikit-learn | |||
United States | Insurance | 440 | $13M | scikit-learn |
We have data on 15,798 companies that use scikit-learn. Our scikit-learn customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Frequently asked questions