What is better scikit-learn or Yekaliva? If you wish to have a convenient way to find out which AI Software product is better, our exclusive system gives scikit-learn a score of 8.9 and Yekaliva a score of 8.0 for general quality and performance. At the same time, scikit-learn is rated at 100%, while Yekaliva is rated N/A% for their user satisfaction level.
You can also review their product details, including functions, tools, options, plans, prices, and many more. Check whether the solution allows you to customize a few of its processes to guarantee the app matches your own business procedures.
We did our best to prepare reviews of all popular AI Software solutions available out there, but among them these three caught our special attention: Azure Machine Learning Studio, Salesforce Einstein, Google Vertex AI.
scikit-learn provides documentation for the use of its API if you want to integrate your app. No other integration information is provided.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Spotify, Inria, Evernote
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
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General Info
A free-to-use machine learning module for Python built on SciPy. This AI platform is capable of creating neuroimages, predicting consumer behavior, detecting abusive actions in the web, and more. It is also released with a BSD license which means individuals and businesses can utilize scikit-learn for personal and commercial purposes.
Both scikit-learn and Yekaliva were tested by a group of independent B2B experts who carried out a thorough examination of all core aspects of every software. Their ultimate score was prepared with unique SmartScore model which gives a separate partial score to every factor such as: main functionalities, customer support, mobile support, security, client satisfaction and media presence. We realize useful features are not the only aspect essential to a company so we make sure we pay attention to all sides of a software before calculating its final rating.
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