From the course: Machine Learning with Python: Logistic Regression
Join today to access over 25,300 courses taught by industry experts.
The anatomy of a regression model - Python Tutorial
From the course: Machine Learning with Python: Logistic Regression
The anatomy of a regression model
- [Instructor] By quantifying the size and strength of the relationship between two or more numerical values, regression models allow us to predict or forecast an output value based on a set of input values. The anatomy of a regression model is made up of three components. The first is a continuous value. We intend to predict. Why? This is the dependent variable and it's also known as the response variable. The second component is a collection of one or more numeric variables X, that we intend to use to predict the response variable. These are known as the predictors or independent variables. The third component is a set of coefficient beta which describe the relationships between the predictors and the response variable. To help motivate our understanding of the anatomy of a regression model, let's assume that we work for a bike rental company and would like to build a regression model that estimates how many bikes to…
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.