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• Interventions: In Data Science, interventions refer to the actions taken to modify a system or process in order to achieve a desired outcome. These interventions can be either experimental or observational, and are often used in fields such as healthcare, ... Read More >>
• Data Preprocessing Techniques: Data preprocessing is a data mining technique that involves transforming raw data into an understandable format. It is a crucial step in the data analysis process as it helps to improve the quality of data, reduce errors, and increase the a ... Read More >>
• Competitors: In the context of data science, competitors refer to other companies or organizations that are operating in the same industry and are vying for the same market share. Competitor analysis is a crucial aspect of data science as it helps busin ... Read More >>