Machine Learning Feature Engineering from Spreadsheet Data

Design a Python pipeline that automatically extracts, transforms, and prepares machine learning features from complex Excel and Google Sheets datasets. The script should implement advanced feature selection algorithms, handle missing data through multiple imputation strategies, and generate comprehensive feature importance reports. Include support for both supervised and unsupervised learning preprocessing with detailed logging and visualization of feature transformations.