Python for Machine Learning - The Complete Beginners Course - Introduction to Regression

The video tutorial explains regression analysis, a method to predict continuous outcomes based on input variables. It is widely used in fields like statistics, economics, and data science. The tutorial covers real-world examples such as predicting house prices and weather. Regression is categorized into linear and nonlinear types. Linear regression involves a linear relationship between variables and is further divided into simple and multiple linear regression. Simple linear regression uses one input variable, while multiple linear regression uses more than one. Nonlinear regression involves a nonlinear function of inputs.

What defines the relationship in linear regression?

How does nonlinear regression differ from linear regression?