Outlier Detection

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• Misclassification Errors: Misclassification errors refer to the mistakes made by a machine learning model when it incorrectly predicts the class or category of a data point. These errors can occur in both binary and multi-class classification problems. In binary cla ... Read More >>
• Agile Methodologies: Agile Methodologies are a set of principles and practices for software development that prioritize flexibility, collaboration, and customer satisfaction. Agile development emphasizes iterative and incremental development, continuous deliver ... Read More >>
• Iterative Cycle: Iterative cycle is a process of repeating a set of steps or tasks until a desired outcome is achieved. In data science, an iterative cycle is often used in the development of machine learning models. The process involves several steps such ... Read More >>