Chapter 1
Modeling Real Estate Using Regression Analysis
Section 4
Defining a Regression Problem
Regression analysis is the starting point in data science. This is because regression models represent the most well-understood models in numerical simulation. Once we experience the workings of regression models, we will be able to understand all other machine learning algorithms. Regression models are easily interpretable as they are based on solid mathematical bases. In the following lessons, we will see that linear regression allows us to derive a mathematical formula that's representative of the corresponding model. Perhaps this is why such techniques are extremely easy to understand. Here are the topics that we will cover now: - Regression Analysis - Purpose of Regression - Applications of Regression - Basic Regression Concepts - Different Types of Regression - Multivariate Regression