소개
This skill empowers developers and data scientists to rapidly prototype and deploy supervised learning models by automating complex tasks like data preprocessing, feature selection, and hyperparameter tuning. By integrating directly with Claude Code, it streamlines the machine learning workflow, providing detailed performance metrics—such as accuracy, precision, and F1-score—to ensure models are robust and ready for production environments. It is particularly useful for tasks involving categorical outcomes like churn prediction, spam detection, and lead scoring.
