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• Numerical Methods: Numerical methods refer to the techniques used to solve mathematical problems using numerical approximation. These methods are used when analytical solutions are not feasible or when the problem is too complex to be solved analytically. Num ... Read More >>
• False Positives: In Data Science, False Positives refer to the instances where a model predicts a positive outcome when the actual outcome is negative. This means that the model has identified an event or condition that is not present in reality. False posi ... Read More >>
• Classification: Classification is a supervised learning technique in which an algorithm learns from labeled data to predict the class or category of new, unlabeled data. The goal of classification is to accurately assign new observations to previously defi ... Read More >>