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• Cross-Validation: Cross-validation is a statistical method used to evaluate the performance and accuracy of a machine learning model. It involves partitioning the dataset into subsets, where one subset is used for testing the model and the remaining subsets ... Read More >>
• Business Rules: In Data Science, Business Rules refer to a set of guidelines or conditions that are defined by an organization to govern its operations. These rules are based on the organization's policies, procedures, and regulations, and are used to make ... Read More >>
• Ensemble Learning: Ensemble Learning is a machine learning technique that combines multiple models to improve the overall performance of the system. It involves training multiple models on the same dataset and then combining their predictions to make a final ... Read More >>