Regression
Regression is a statistical and machine learning technique used to model the relationship between a dependent variable and one or more independent variables. It aims to predict continuous outcomes by fitting a line or curve to observed data points, with common types including linear, logistic, and polynomial regression. This method is widely applied in fields like economics, finance, and data science for forecasting, trend analysis, and understanding causal relationships.
Developers should learn regression when working on predictive modeling, data analysis, or machine learning projects that involve numerical predictions, such as estimating house prices, forecasting sales, or analyzing experimental results. It is essential for building interpretable models in data science, enabling insights into variable impacts and supporting decision-making in business and research contexts.