{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Scikit-learn — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"<div style=\"font-family:sans-serif;border:1px solid #e0e0e0;border-radius:8px;padding:16px;max-width:600px;background:#ffffff;color:#111111;\"><p style=\"margin:0 0 4px;font-size:11px;color:#666;\">AI Glossary — gaks.ai</p><h3 style=\"margin:0 0 8px;font-size:16px;\">Scikit-learn</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">An open-source Python library providing a wide range of classical machine learning algorithms (classification, regression, clustering, and dimensionality reduction) along with tools for model evaluation and preprocessing. Scikit-learn is one of the most widely used tools in data science and remains the standard choice for traditional machine learning tasks that don't require deep learning.</p><a href=\"https://gaks.ai/glossary/scikit-learn\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/scikit-learn →</a></div>"}