scikit-learn
Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorith...
Scikit-learn is a software machine learning library for the Python programming language that has a 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.
scikit-learn Introduction
What is scikit-learn?
Scikit-learn is a software machine learning library for the Python programming language that has a 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.
How to use scikit-learn?
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Why Choose scikit-learn?
Choose scikit-learn if you’re into Python and need a versatile machine learning library with tons of algorithms for classification, regression, and clustering. It plays well with other scientific libraries and is a go-to for data scientists and developers alike.
scikit-learn Features
Features
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Pricing
Mid-Market
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Enterprise
27% less expensive than the avg. Machine Learning product https://www.g2.com/products/scikit-learn/reviews?filters%5Bcompany_segment%5D%5B%5D=181