Data mining techniques analyze large datasets to identify hidden patterns and trends. These methods utilize algorithms and statistical models to extract valuable insights, enabling better decision-making and predictive analytics.

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Classification algorithms in R enable data scientists to categorize data into distinct classes using techniques like logistic regression, decision trees, and random forests, enhancing predictive modeling and data analysis.

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