Linear regression is a statistical method that models the relationship between a dependent variable and one or more independent variables. It is widely used in machine learning for predictive modeling.
The technique is essential for understanding trends and making predictions based on historical data. Its simplicity and interpretability make it a popular choice among data scientists.
Applications of linear regression span various fields, including finance, healthcare, and marketing, where it helps in forecasting outcomes and making informed decisions.