scikit-learn (formerly scikits.learn and also known as sklearn) is a free and 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 … See moreThe scikit-learn project started as scikits.learn, a Google Summer of Code project by French data scientist David Cournapeau. … See morescikit-learn is largely written in Python, and uses NumPy extensively for high-performance linear algebra and array operations. … See more• mlpy• SpaCy• NLTK• See morescikit-learn was initially developed by David Cournapeau as a Google Summer of Code project in 2007. Later that year, Matthieu Brucher … See more• Official website• scikit-learn on GitHub See more

Machine Learning in Python. Getting Started Release Highlights for 1.5. Simple and efficient tools for predictive data analysis. Accessible to everybody, and reusable in various …

In this section, we introduce the machine learning vocabulary that we use throughout scikit-learn and give a simple learning example. Machine learning: the problem setting # In …

Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data …

What is scikit-learn? Scikit-learn provides a range of supervised and unsupervised learning algorithms via a consistent interface in Python. It is licensed under a permissive simplified BSD license and is …

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started in 2007 by David Cournapeau …

Scikit-learn is a library in Python that provides many unsupervised and supervised learning algorithms. It’s built upon some of the technology you might already be familiar with, like …

Scikit-learn, also known as sklearn, is an open-source, robust Python machine learning library. It was created to help simplify the process of implementing machine learning …