Feature analysis is a critical process in machine learning and pattern recognition that involves selecting, transforming, and evaluating attributes to improve model performance and interpretability. It helps in identifying the most informative features, reducing dimensionality, and mitigating overfitting by focusing on the most relevant data aspects.