SVD Did Not converge in Linear Least Squares Error

Was working on a project and was trying to make a scatterplot with a trend line. usually always used R for simplicity in Linear regression problems.

Worked in Regression extensively for first time in Python. Used numpy polyfit for the problem. I performed a left join and joined 2 tables here

What does it mean when SVD does not converge in Linear Least Squares...

Im aware how Singular Value Decomposition is used in PCA, Linear Regression and how it works. …

converge datascience error join least line linear linear regression numpy project python regression simplicity squares svd tables trend