Machine Learning, Fluid Mechanics, Svd, Data Science, Python.
Take-aways Singular Value Decomposition (SVD) offers a versatile framework that can be interpreted from three interrelated perspectives, each shedding light on its utility in data analysis. Firstly, it serves as a method for transforming correlated variables into a set of uncorrelated ones, thereby