Svd, Data Science, Machine Learning, Data Visualization, Fluid Dynamics.
while significantly reducing the matrix’s size. Least-squares and Regression Singular Value Decomposition (SVD) plays a crucial role in various data science applications, particularly in regression and least-square fitting methods. Many real-world scenarios can be modeled as linear systems of