Unify your entire machine learning workflow with all your favorite data science tools, languages, frameworks and compute. Connect any data source, algorithm, and your favorite package, and programming language.
Flexible
Use any language, AI framework, and compute environment. Integrate and version any kind of data to reuse in any project, experiment, and/or notebook
Interactive
Use any development environment like JupyterLab, RStudio, and more with pre-installed dependencies and version control
Interactive
One unified environment to manage, build and deploy your machine learning with all your favorite data science tools
An open source library and framework used by data scientists to design, build, and train deep learning models and large-scale machine learning
Also known as Scikit-learn, SKLearn is a free Python machine learning library featured various classification, regression and clustering algorithms including support for vector machines, random forests, and gradient poosting