Understanding Regression in Machine Learning
Machine Learning (ML) encompasses a wide array of algorithms designed to enable computers to learn from data and make predictions or decisions. Among these, regression stands out as a powerful technique for predicting continuous numerical outcomes. In this article, we'll delve into the fundamentals of regression, its types, and its applications. What is Regression ? Regression is a supervised learning technique that involves predicting a continuous output variable based on input features. The goal is to establish a relationship between the input variables and the target variable by learning from labeled training data. Types of Regression 1. Linear Regression : Linear regression is one of the simplest forms, where the relationship between the input features and the target variable is assumed to be linear. The model aims to find the best-fit line that minimizes the difference between predicted and actual values. 2. Multiple Linear Regression : Extending linear regression, mul...