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• K-Nearest Neighbor: K-Nearest Neighbor (KNN) is a non-parametric machine learning algorithm used for classification and regression. In KNN, the output is a class membership or a real value based on the k closest training examples in the feature space. KNN is a ... Read More >>
• Pearson Chi-squared Test: Pearson Chi-squared Test is a statistical test that measures the degree of association between two categorical variables. It is used to determine whether there is a significant difference between the expected frequencies and the observed fr ... Read More >>
• Synthetic Data Generation: Synthetic Data Generation is the process of creating artificial data that mimics the statistical properties of real-world data. This technique is used to generate large amounts of data that can be used for testing, training, and validating ... Read More >>