- What is scikit-learn
- Product Quality Score
- Main Features
- List of Benefits
- Technical Specifications
- Available Integrations
- Customer Support
- Pricing Plans
- Other Popular Software Reviews
What is scikit-learn?scikit-learn is a free-to-use machine learning module built on SciPy to be used with Python. It is a simple but effective data mining and data analysis tool. Released under the BSD license, it can be utilized for both commercial and personal purposes. Through scikit-learn, users can conduct various types of tasks such as preprocessing, clustering, model selection, and a lot more. This module is equipped for completing implementations as well. Furthermore, scikit-learn can fulfill a wide variety of purposes such as hotel bookings, music streaming, and others. Thanks to this, users can incorporate algorithms in the system to their very own application.
Product Quality Score
Main features of scikit-learn are:
- Dimensionality Reduction
- Model Selection
The main benefits of scikit-learn are its free usage, ease of use, versatility, international online community support, and proper API documentation. Here are more details:
Since scikit-learn is distributed under BSD license, it is free to use for anyone. In addition, with the minimal restrictions of its license, users wouldn’t have to worry about legal limitations when designing their platforms and applications.
Easy to use
Many research organizations and commercial industries have used scikit-learn in their operations and they all agree about how the module is easy to use. Because of that, they don’t run to any problem when performing a variety of processes.
The system is a handy tool that can do a multitude of things such as creating neuroimages, identifying abusive cloud actions, predicting consumer behavior, etc. It is widely used by research and commercial organizations throughout the world, proof of its versatility and ease of use.
Backed by international community
Since its one-man mission origin, scikit-learn has come a long way and is being developed by numerous authors in INRIA headed by Fabian Pedregosa as well as by various independent contributors. Because of this, the module is always updated, with several releases each year. scikit-learn is also backed by an international online community that users can count on if ever they run into troubles or have queries.
To help ensure that new and old users both get the assistance they require with regards to integrating scikit-learn with their platforms, as well as extensive, detailed API documentation accessible from their website, is provided. With this, users can seamlessly integrate the learning algorithms in their own platforms.
- Small business
- Medium business
The following scikit-learn integrations are currently offered by the vendor:
scikit-learn pricing is available in the following plans: