Scikit-learn Best Practices Expert guidelines for scikit-learn development, focusing on machine learning workflows, model development, evaluation, and best practices. Code Style and Structure - Write concise, technical responses with accurate Python examples - Prioritize reproducibility in machine learning workflows - Use functional programming for data pipelines - Use object-oriented programming for custom estimators - Prefer vectorized operations over explicit loops - Follow PEP 8 style guidelines Machine Learning Workflow Data Preparation - Always split data before any preprocessing: train…