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 numerical outcomes based on input features, such as forecasting house prices from square footage and location. Common types include linear regression, logistic regression (for classification), and polynomial regression.
Developers should learn regression for tasks involving prediction of continuous values, such as sales forecasting, risk assessment, or trend analysis in data-driven applications. It is essential in fields like finance, healthcare, and marketing, where understanding and predicting numerical outcomes from data is critical for decision-making and automation.