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• Causal Inference: Causal inference is the process of drawing a conclusion about a causal relationship based on the evidence available. In data science, causal inference is used to determine whether a particular treatment or intervention has a causal effect o ... Read More >>
• Undersampling: Undersampling is a technique used in data science to balance imbalanced datasets. It involves reducing the number of instances in the majority class to match the number of instances in the minority class. This is done by randomly selecting ... Read More >>
• Collaborative Approach: Collaborative Approach refers to a methodology in Data Science and Artificial Intelligence where multiple individuals or teams work together to solve a problem or complete a project. This approach involves sharing knowledge, skills, and res ... Read More >>