Regression is a supervised learning technique that aids in the discovery of variable correlations and allows us to forecast a continuous output variable using one or more predictor variables.
In Machine Learning, it is one of the most widely used regression algorithms. To anticipate the output variables, a significant variable from the data set is picked (future values).
Financial forecasting, trend analysis, marketing, time series prediction, and even drug response modelling are all applications of regression models. Linear regression, regression trees, lasso regression, and multivariate regression are some of the most used forms of regression methods.
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