# -*- coding: utf-8 -*-
"""Polynomial regression for machine learning.

polynomial regression is a form of regression analysis in which the
relationship between the independent variable x and the dependent variable y is
modelled as an nth degree polynomial in x. Polynomial regression fits a
nonlinear relationship between the value of x and the corresponding conditional
mean of y, denoted E(y |x)Although polynomial regression fits a nonlinear model
to the data, as a statistical estimation problem it is linear, in the sense
that the regression function E(y | x) is linear in the unknown parameters that
are estimated from the data. For this reason, polynomial regression is
considered to be a special case of multiple linear regression.

Example:

        $ python regularPolynomialRegression.py

Todo:
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"""

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