Data

Data refers to any collection of information that is stored, processed, and analyzed to derive insights and knowledge. In the context of data science, data can be structured or unstructured, and can come from a variety of sources such as databases, sensors, social media, and more. Data is the foundation of all data-driven decision making and machine learning algorithms, and is used to train models, make predictions, and identify patterns and trends. Data can be preprocessed and cleaned to remove noise and inconsistencies, and can be transformed and visualized to gain a better understanding of the underlying patterns and relationships. Data is often categorized into different types such as numerical, categorical, and text, and can be analyzed using a variety of statistical and machine learning techniques.
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  • Regression Line: In Data Science, a regression line is a straight line that best fits the given set of data points. It is used to model the relationship between a dependent variable and one or more independent variables. The regression line is determined by ... Read More >>
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