Python Libraries

Python libraries are collections of pre-written code that allow programmers to perform complex tasks without having to write the code from scratch. These libraries are designed to be reusable and can be easily integrated into a Python project. Python libraries can be used for a wide range of tasks, including data analysis, machine learning, web development, and more. Some popular Python libraries include NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and Keras.
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  • Summary Statistics: Summary statistics are numerical measures that describe the main features of a dataset. These measures provide a quick and easy way to summarize the characteristics of a dataset, such as its central tendency, variability, and shape. Common ... Read More >>
  • Decision Support Systems: Decision Support Systems (DSS) are computer-based information systems that support decision-making activities. DSS provide interactive tools and models to help users analyze complex problems and make decisions based on data and information. ... Read More >>
  • Outcome Variable: In Data Science, an outcome variable is a variable that is being predicted or explained by one or more independent variables. It is also known as a dependent variable or response variable. The outcome variable is the main focus of a statist ... Read More >>
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