G2

Diana B.

Small-Business (50 or fewer emp.)

5/2/2023

"Python library"

4.5/5

What do you like best about scikit-learn?

Users who wish to connect the algorithms to their platforms will find detailed API documentation on the scikit-learn website. Many contributors, authors, and a large international online community support and update Scikit-learn. It is easy to use. The library is published under the BSD license, so it is available for free with only the most basic legal and licensing restrictions. The scikit-learn package is extremely adaptable and useful, and can be used for a variety of real-world tasks, such as developing neuroimaging, predicting consumer behavior, etc. Review collected by and hosted on G2.com.

What do you dislike about scikit-learn?

It is not a great choice if one prefers in-depth learning. It provides a simple abstraction that may tempt beginner data scientists to continue without first learning the basics. Review collected by and hosted on G2.com.

What problems is scikit-learn solving and how is that benefiting you?

Scikit-learn allows us to define machine learning algorithms and compare them with each other, as well as offering tools for data preprocessing. K-means clustering, random forests, support vector machines, and any other machine learning model we want to develop are included in Scikit-learn. Review collected by and hosted on G2.com.