Cuack Prep [hot]

Cuack Prep presents a significant step forward in automated data preprocessing. By integrating spectral filtering and adaptive scaling, it creates a robust foundation for Quasi-Adaptive Clustering Kernels. Data scientists dealing with noisy, high-variance datasets are encouraged to adopt this framework to improve model fidelity and reduce pipeline maintenance.