It is a NumPy and SciPy-related Python library. One of the best libraries for handling complex data is thought to be this one.
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This library is undergoing a lot of changes. The cross-validation feature, which enables the use of multiple metrics, is one modification. Numerous training techniques, including logistic regression and nearest neighbours, have seen some minor advancements.
Features Of Scikit-Learn
- Cross-validation: A number of techniques exist to evaluate the efficacy of supervised models on unobserved data.
2.Unsupervised learning algorithms are available in a wide variety, ranging from clustering to unsupervised neural networks using principal component analysis and factor analysis.
- Feature extraction: Effective for removing features from text and images (e.g. Bag of words)
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