Non Linear Regression
Dependencies
Introduction
In statistics, non-linear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. The data are fitted by a method of successive approximations.
In the Notebook, we learn how to use SciPy to implement non-linear regression.
