Linear Regression is one of the most fundamental and widely used algorithms in Machine Learning and Statistics. It helps us understand relationships between variables and make predictions based on historical data.
Whether you're predicting house prices, sales revenue, customer demand, or stock trends, Linear Regression is often the first model that data scientists and machine learning engineers explore.
What is Linear Regression?
Linear Regression is a supervised learning algorithm used to predict a continuous numerical value based on one or more input variables.
The goal is to find the best-fitting straight line that represents the relationship between the independent variables (features) and the dependent variable (target).
