Algorithms: Linear Regression
y = mx + c: looks familiar, right? In my Data Analytics journey, I've chosen to revisit and explore algorithms commonly used in this field. Today, our focus is on linear regression: understanding its significance and limitations. Let's begin by unraveling the concept of 'Linear Regression' through a series of "dumb" questions: What is a line? A line consists of an infinite number of points that extend indefinitely in two opposite directions. What does it mean to be linear? In mathematics, linearity often refers to a relationship between variables that can be graphically represented as a straight line. What is regression? Regression refers to a statistical method used to analyze the relationships between variables. Considering these explanations, we can define Linear Regression as the analysis of the relationship between two variables displayed along a straight line. Suppose we want to understand how traffic volume changes on a particular highway as Christma...