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• Edges: In data science, edges refer to the connections between nodes in a graph. A graph is a collection of nodes (also called vertices) and edges that connect them. Edges can be directed or undirected, weighted or unweighted, and can have differe ... Read More >>
• Dimensionality Reduction Techniques: Dimensionality reduction techniques are methods used to reduce the number of features or variables in a dataset while retaining as much information as possible. These techniques are commonly used in data science and machine learning to addr ... Read More >>
• Hypothesis: In data science, a hypothesis is a proposed explanation or prediction for a phenomenon that can be tested through experimentation or observation. It is a tentative assumption made in order to draw out and test its logical or empirical conse ... Read More >>