Principles of Data Science
Regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. This technique is essential for predicting outcomes and understanding the strength and nature of relationships within data, often forming the backbone of various analytical approaches, including ensemble methods and boosting. It allows for refining predictions and enhancing model accuracy by combining multiple predictors in a cohesive manner.
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