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• Agility: Agility in Data Science refers to the ability of an organization to quickly and efficiently adapt to changes in data, technology, and business requirements. It involves the use of agile methodologies and practices to enable teams to deliver ... Read More >>
• Decision-making Processes: Decision-making processes refer to the series of steps or actions taken by individuals or organizations to identify and choose the best course of action among several alternatives. In data science and artificial intelligence, decision-makin ... Read More >>
• Feature Selection: Feature selection is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. It is an important step in the machine learning pipeline as it helps to improve model performance, reduce ove ... Read More >>