Doing non-linear regression for a set of data

In the next section, we will see how to do the non-linear regression for a set of data.

Getting ready

The following is the main requirement that we need:

scipy.optimize.curve_fit(f, xdata, ydata, p0=None, sigma=None, absolute_sigma=False, check_finite=True, bounds=(-inf, inf), method=None, jac=None, **kwargs)

How to do it...

We present the main functions and parameters:

The parameters are:

• f: Callable. The model function, f(x, ...). It must take the independent variable as the first argument and the parameters to fit as separate...