# Introduction In this challenge, we will implement and apply polynomial regression to fit a set of training samples with a curve generated by a polynomial equation. The objective is to use the least squares method to obtain the optimal fitting coefficients of the polynomial regression. The challenge requires completing a function that takes a sample CSV file as input and returns the coefficients of the polynomial regression fitting.
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