Scikit Learn in Python by R4R Team

What Is Scikit-learn?

-It is a Standard library of Python associated with NumPy and SciPy.
-Dealing with complex data this library is the best.
-There are a lot of changes being made in this library. One modification is the cross-validation feature, providing the ability to use more than one metric. Lots of training methods like logistics regression and nearest neighbors have received some little improvements.

Features Of Scikit-Learn:

1. Cross-validation-
-There are various methods or ways to check the accuracy of supervised models on unseen data.

2. Unsupervised learning algorithms-
-Again there is a large spread of algorithms in the offering starting from clustering, factor analysis, principal component analysis to unsupervised neural networks.

3. Feature extraction-
-Useful for extracting features or words from images and text (e.g. Bag of words)

Where Is Scikit-Learn Used?

-It contain the number of algorithms that help in machine learning projects
-It also useful in Data science project.




Leave a Comment:
Search
R4R Team
R4Rin Top Tutorials are Core Java,Hibernate ,Spring,Sturts.The content on R4R.in website is done by expert team not only with the help of books but along with the strong professional knowledge in all context like coding,designing, marketing,etc!