Non-Linear Regression models
Non-linear regression is a powerful technique used in statistics and machine learning to model and analyze complex relationships between variables. Unlike linear regression, which assumes a linear relationship between the independent and dependent variables, non-linear regression algorithms can capture more intricate and non-linear patterns. This makes them particularly useful when dealing with real-world phenomena where linear relationships are insufficient. Following Non-Linear regression models are covered in the attached Jypter notebook...