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• Datagrams: Datagrams are self-contained packets of information that are transmitted over a network. They are used in computer networking to send data between devices in a way that is independent of the underlying network technology. Datagrams are typi ... Read More >>
• PCA: PCA (Principal Component Analysis) is a statistical technique used to reduce the dimensionality of a dataset while retaining as much of the original variation as possible. It works by identifying the directions of maximum variance in the da ... Read More >>
• Feature Selection: Feature selection is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. It is an important step in the machine learning pipeline as it helps to improve model performance, reduce ove ... Read More >>