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• Graphs: In data science, graphs are visual representations of data that allow us to easily identify patterns and relationships between variables. Graphs can be used to display data in a variety of formats, including scatter plots, line graphs, bar ... 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 >>
• Thermal Expansion: Thermal expansion is the tendency of matter to change its shape, area, and volume in response to a change in temperature. In data science, thermal expansion can be observed in the expansion of data sets due to the addition of new data point ... Read More >>