Reviews
Now Reading
Scikit-learn
0
Review

Scikit-learn

Overview
Synopsis

Scikit-learn is an open source machine learning library for the Python programming language.

Category

Machine Learning Library

Website
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
6.8
Features & Functionality
7.6
7.9
Advanced Features
7.7
8.4
Integration
7.7
6.7
Performance
7.5
6.1
Customer Support
7.5
5.7
Implementation
Renew & Recommend
Bottom Line

Scikit-learn features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

7.6
Editor Rating
7.3
Aggregated User Rating
6 ratings
You have rated this

Scikit-learn is an open source machine learning library for the Python programming language.It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

Classification : Identifying to which category an object belongs to Applications: Spam detection, Image recognition. Algorithms: SVM, nearest neighbors, random forest.

Regression : Predicting a continuous-valued attribute associated with an object. Applications: Drug response, Stock prices. Algorithms: SVR, ridge regression.

Clustering :Automatic grouping of similar objects into sets. Applications: Customer segmentation, Grouping experiment outcomes. Algorithms: k-Means, spectral clustering, mean-shift.

Filter reviews
User Ratings





User Company size



User role





User industry





Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Customer Support
Implementation
Renew & Recommend

What's your reaction?
Love It
0%
Very Good
0%
INTERESTED
0%
COOL
0%
NOT BAD
0%
WHAT !
0%
HATE IT
0%