Nonlinear Regression, Regression, Regression Analysis, Data Science, Machine Learning.
suboptimal solutions. Overfitting: As with linear regression, it’s important to guard against overfitting, especially with complex nonlinear models. Regularization techniques can help in such cases. Computational Complexity: Fitting nonlinear models can be computationally intensive, requiring