Introduction to Linear Regression
Linear regression is a fundamental statistical method used to study the relationship between two variables by fitting a straight line to a set of observed data points. This technique is widely used in machine learning and data analysis to make predictions and understand connections between variables.
In this article, we’ll explore the basics of linear regression and implement a simple algorithm to predict house prices and classify whether an object is a cat. We’ll also discuss how to improve the algorithm’s performance using normalization and gradient descent.