Regression Algorithms
Regression algorithms are a class of supervised machine learning techniques used to predict continuous numerical values based on input features. They model the relationship between dependent and independent variables by fitting a mathematical function to observed data, enabling predictions and trend analysis. Common applications include forecasting sales, estimating house prices, and analyzing trends in time-series data.
Developers should learn regression algorithms when building predictive models for quantitative outcomes, such as in finance for stock price prediction, in healthcare for patient risk scoring, or in e-commerce for demand forecasting. They are essential for tasks requiring numerical predictions and understanding variable relationships, often serving as a foundation for more complex machine learning workflows.