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Find link is a tool written by Edward Betts .
searching for Scikit-learn 11 found (113 total)
alternate case: scikit-learn
Learning curve (machine learning)
(749 words)
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the original on 2013-07-15. scikit -learn developers. "Validation curves: plotting scores to evaluate models — scikit -learn 0.20.2 documentation". Retrieved
Isotonic regression
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Computing. Retrieved 29 October 2021. Pedregosa, Fabian; et al. (2011). "Scikit -learn :Machine learning in Python". Journal of Machine Learning Research. 12:
Least-angle regression
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regression is implemented in R via the lars package, in Python with the scikit -learn package, and in SAS via the GLMSELECT procedure. High-dimensional statistics
Accuracy and precision
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"3.3. Metrics and scoring: quantifying the quality of predictions". scikit -learn . Retrieved 17 May 2022. Acken, John M. (1997). "none". Encyclopedia of
Learning rate
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Aurélien (2017). "Gradient Descent". Hands-On Machine Learning with Scikit -Learn and TensorFlow. O'Reilly. pp. 113–124. ISBN 978-1-4919-6229-9. Plagianakos
Stochastic variance reduction
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Stochastic approximation "sklearn.linear_model.LogisticRegression". Scikit Learn . Retrieved Feb 26, 2022. Lan, Guanghui; Zhou, Yi (2018). "An optimal
Autoencoder
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Heidelberg. Géron, Aurélien (2019). Hands-On Machine Learning with Scikit -Learn , Keras, and TensorFlow. Canada: O’Reilly Media, Inc. pp. 739–740. Liou
Phi coefficient
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Page. Retrieved 28 December 2016. "Matthew Correlation Coefficient". scikit -learn .org. Stoica P and Babu P (2024), Pearson–Matthews correlation coefficients
Convolutional neural network
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Retrieved 2022-03-31. Géron, Aurélien (2019). Hands-on Machine Learning with Scikit -Learn , Keras, and TensorFlow. Sebastopol, CA: O'Reilly Media. ISBN 978-1-492-03264-9
Lasso (statistics)
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for the Lasso problem, often outperforming traditional solvers like scikit -learn by up to 100 times in certain scenarios, particularly with high-dimensional
Logo Software
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and machine learning projects and supports it with "Tensor Flow" and "Scikit -Learn " on the open-source side. On the cloud side, it uses Azure's cognitive