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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 >>
• Slope: In data science, slope refers to the measure of the steepness of a line that represents the relationship between two variables in a dataset. It is calculated by dividing the change in the value of the dependent variable by the change in the ... Read More >>
• Eigenvector: In linear algebra, an eigenvector of a square matrix is a non-zero vector that, when the matrix is multiplied by it, results in a scalar multiple of the same vector, i.e., the vector changes only in scale. In data science, eigenvectors are ... Read More >>