"scikit-learn's ease-of-use, performance and overall variety of algorithms implemented has proved "It allows us to do AWesome stuff we would not otherwise accomplish". "scikit-learn makes doing...

"scikit-learn's ease-of-use, performance and overall variety of algorithms implemented has proved invaluable [...]." "For these tasks, we relied on the excellent scikit-learn package for Python."

Scikit-learn (formerly scikits.learn and also known as sklearn) is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting...

scikit-learn: machine learning in Python. Contribute to scikit-learn/scikit-learn development by creating an account on GitHub.

Scikit-learn (Sklearn) is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for machine learning and statistical modeling including classification...

Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4. scikit-learn 0.23 and later Scikit-learn plotting capabilities (i.e., functions start with plot_ and classes end with "Display"...

Scikit-learn is widely used in Kaggle competition as well as prominent tech companies. It helps in preprocessing, dimensionality reduction(parameter selection), classification, regression, clustering...

The latest Tweets from scikit-learn (@scikit_learn). Easy-to-use and general-purpose machine scikit-learn 0.24.0 is out on PyPI and conda-forge! Highlights include successive halving, categorical...

Scikit-learn is a well-documented and well-loved Python machine learning library. The library is maintained and reliable, offering a vast collection of...

scikit-learn is a general-purpose open-source library for data analysis written in python. It is based on other python libraries: NumPy, SciPy, and matplotlib. scikit-learncontains a number of...

Scikit-learn is a machine learning library for Python. It features several regression, classification and clustering algorithms including SVMs, gradient boosting, k-means, random forests and DBSCAN.

Scikit-learn (formerly scikits.learn) is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms...

Scikit-Learn is characterized by a clean, uniform, and streamlined API, as well as by very useful and We will start by covering data representation in Scikit-Learn, followed by covering the Estimator API...

Scikit-learn is a free machine learning library for Python. It features various algorithms like support vector machine, random forests, and k-neighbours, and it also supports Python numerical and...

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 NumPy, pandas, and...

Scikit-learn is an open source Python library used for machine learning, preprocessing, cross-validation and visualization algorithms. It provides a range of supervised and unsupervised learning...

What is the difference between scikit-learn and sklearn? Also, I cant import scikit-learn because of Also, try running the standard tests in scikit-learn and check the output. You will have detailed error...

Scikit-Learn. 687 likes · 4 talking about this. Scikit-learn (formerly scikits.learn) is a free software machine learning library for the Python...

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 distributed under...

scikit_learn. join leave2,398 readers. 3 users here now. Active Contour in SciKit-Image [snake algorithm] (self.scikit_learn). submitted 22 days ago by Nexus9291.