Learn the basics of linear regression , a statistical and machine learning algorithm for modeling numerical relationships. Explore the representation, learning methods, data preparation and applications of linear regression . Learn how to use linear regression to predict continuous numeric values based on a linear relationship between input and output variables. Explore the types, steps, assumptions, metrics, and applications of linear regression in machine learning . Linear regression is a type of supervised machine - learning algorithm that learns from the labelled datasets and maps the data points with most optimized linear functions which can be used for prediction on new datasets. It assumes that there is a linear relationship between the input and output, meaning the output changes at a constant rate as the input changes. This relationship is represented by a straight line. For example we want to predict a student's exam score based on how many hours ... Linear regression is a powerful but relatively simple tool that can be used to understand the relationship between variables. This tutorial will explore the fundamentals of linear regression in a beginner-friendly way. By the end of this tutorial, you will have a solid understanding of linear regression and how to implement it using real-world ...
