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• Vulnerabilities: In the context of data science and artificial intelligence, vulnerabilities refer to weaknesses or flaws in a system that can be exploited by attackers to gain unauthorized access, steal data, or disrupt operations. These vulnerabilities ca ... Read More >>
• Machine Learning Pipeline: A Machine Learning Pipeline is a sequence of data processing components that are assembled together to implement a machine learning workflow. It involves a series of steps such as data collection, data preprocessing, feature engineering, mo ... Read More >>
• Quantitative Variables: Quantitative variables are numerical variables that represent a measurable quantity or amount. In data science, quantitative variables are used to describe and analyze numerical data. These variables can be either discrete or continuous. Di ... Read More >>