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"A. Examples of regression algorithms include Linear Regression, Polynomial Regression, Ridge Regression, Lasso Regression, Elastic Net Regression, Support Vector Regression (SVR), Decision Tree Regression, Random Forest Regression, and Gradient Boosting Regression. These algorithms are used to predict continuous numerical values and are widely applied in various fields such as finance, economics, and engineering."
<https://www.analyticsvidhya.com/blog/2021/05/5-regression-algorithms-you-should-know-introductory-guide/?utm_source=reading_list&utm_medium=https://www.analyticsvidhya.com/blog/2023/11/googles-bard-can-now-watch-and-answer-questions-about-youtube-videos/>