Understanding Linear Regression Algorithm: A Comprehensive Guide
Introduction : Linear regression is a popular and widely used machine learning algorithm. It is a powerful tool that can be used to predict numerical values based on a set of input data. In this blog post, I will provide a comprehensive guide to understanding linear regression, including how it works, its different types, and its applications. What is Linear Regression ? Linear regression is a supervised learning algorithm used to predict a target variable based on one or more input variables. It models the relationship between the target variable and the input variables by fitting a linear equation to the data. The linear equation is represented as y = mx + b, where y is the target variable, x is the input variable, m is the slope of the line, and b is the intercept. 1.Types of Linear Regression: There are two types of linear regression: simple linear regression and multiple linear regression. 1.1 Simple Linear Regression: Simple linear regression is used when there is only on...