Machine Learning Feature Engineering Tracker

Build a sophisticated feature engineering tracking system using Python that dynamically logs and evaluates machine learning model iterations in a Google Sheet. Implement automated logging of model performance, hyperparameter variations, feature importance, and cross-validation results. Include statistical analysis using scipy, visualizations with seaborn, and conditional formatting to highlight optimal model configurations.