Statements (61)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Hands-On_Machine_Learning_with_Scikit-Learn,_Keras,_and_Tensor_Flow
|
| gptkbp:community |
gptkb:software_framework
|
| gptkbp:contribution |
Contributors from around the world
|
| gptkbp:developed_by |
gptkb:David_Cournapeau
|
| gptkbp:example |
Numerous examples provided
|
| gptkbp:has_documentation |
https://scikit-learn.org/stable/documentation.html
|
| https://www.w3.org/2000/01/rdf-schema#label |
Scikit-Learn
|
| gptkbp:installation |
pip install scikit-learn
|
| gptkbp:is_compatible_with |
gptkb:Matplotlib
gptkb:Pandas gptkb:Sci_Py gptkb:Num_Py |
| gptkbp:key |
gptkb:Community_support
Performance metrics Scalability Statistical tests Visualization tools Data transformation tools Real-world applications Benchmarking tools Ensemble methods Graphical user interface support Active development Image processing tools Data preprocessing tools Extensive documentation Time series analysis tools Research applications Educational use Integration with other libraries Natural language processing tools Easy to use API Model persistence Cross-validation tools Data imputation methods Feature selection methods Grid search for hyperparameter tuning Support for pipelines Wide range of algorithms |
| gptkbp:language |
gptkb:Library
|
| gptkbp:latest_version |
1.0.2
|
| gptkbp:license |
gptkb:BSD_License
|
| gptkbp:provides |
Dimensionality Reduction
Classification Algorithms Clustering Algorithms Regression Algorithms Model Evaluation Tools Pipeline Tools |
| gptkbp:release_date |
gptkb:2007
|
| gptkbp:repository |
https://github.com/scikit-learn/scikit-learn
|
| gptkbp:supports |
Supervised Learning
Unsupervised Learning Feature Extraction Model Selection Preprocessing |
| gptkbp:tutorials |
Available online
|
| gptkbp:used_in |
gptkb:physicist
Statistical Modeling Machine Learning Projects |