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 as a Google Summer of ...

Scikit-LLM is a Python library designed to integrate Large Language Models (LLMs) like OpenAI’s GPT models into the widely-used Scikit-learn framework. This package allows researchers to leverage the ...

scikit-learn interface for quantum algorithms. Contribute to sQUlearn/squlearn development by creating an account on GitHub.

This article provides an in-depth exploration of data analysis, covering its types, process, tools and best practices. It also showcases the application of Scikit-learn in the data analysis workflow.

In collaboration with the Scikit-learn Consortium, a Scikit-learn DevSprint Japan will be held from May 26th (Wednesday) to May 28th (Friday), for which we are looking for participants.

[Zack] created a neural network to work through multi-label classification data in Python using the scikit-learn machine learning suite. The code takes the values from the neutral network training ...

Overview: Building AI models begins with clear goals, clean data, and selecting appropriate algorithms.Beginners can use tools like Python, scikit-learn, and Te ...