Yellowbrick is an open-source Python package that provides a simple and intuitive interface for building, evaluating, and visualizing machine learning models. Developed by Distill, a renowned data science and machine learning company, Yellowbrick aims to bridge the gap between model development and interpretation. By integrating seamlessly with popular machine learning libraries like Scikit-learn, Yellowbrick enables data scientists to focus on model improvement rather than tedious manual evaluation.
Visualizing Machine Learning Models with Yellowbrick * Yellowbrick is an innovative Python library designed to enhance the machine... GeeksforGeeks Yellowbrick: Machine Learning Visualization — Yellowbrick v1 ... Contributing. Interested in contributing to Yellowbrick? Yellowbrick is a welcoming, inclusive project and we would love to have y... Yellowbrick: Machine Learning Visualization Yellowbrick SQL Data Platform | Secure. Efficient. Anywhere Data stays under your control, in your cloud account or data center, to meet security, residency and sovereignty needs. Learn more... yellowbrick.com yellowbrick/DESCRIPTION.md at develop - GitHub Yellowbrick. Yellowbrick is a suite of visual analysis and diagnostic tools designed to facilitate machine learning with scikit-le... GitHub Introduction to Yellowbrick - Pythonhosted.org The Yellowbrick API also wraps matplotlib to create publication-ready figures and interactive data explorations while still allowi... Pythonhosted.org yellowbrick - PyPI 21 Aug 2022 — yellowbrick development tool
If you meant a different software or a physical development toy (like LEGO), please let me know! Yellowbrick is an open-source Python package that provides
from yellowbrick.classifier import ClassificationReport from sklearn.ensemble import RandomForestClassifier from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split Interested in contributing to Yellowbrick