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Why is it possible to model non-linear functions with polynomial regression?
Polynomial regression works by using a logarithmic scales that turns any non-linear relationship into a straight line.
Polynomial regression attempts to find a linear transformation that turns the non-linear function into linear functions.
Non-linear functions can be expressed as an infinite sum of terms of polynomials of using the Taylor series around a local point. As such, the non-linear function can be approximated locally using polynomials of .
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