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• Imbalanced Datasets: Imbalanced datasets refer to datasets where the distribution of classes is not equal. In other words, one class has significantly more samples than the other class(es). This is a common problem in many real-world scenarios such as fraud det ... Read More >>
• Triangulation: Triangulation is a method used in data science to improve the accuracy and reliability of results by combining multiple methods or data sources. It involves the use of at least three independent sources of data or methods to verify or cross ... Read More >>
• Decision-making: Decision-making is the process of selecting the best course of action from among multiple alternatives based on available data and information. In data science and artificial intelligence, decision-making involves the use of algorithms and ... Read More >>