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u Widgets
             Widgets are the applications in Orange Data Mining tool that enable users to interactively create data
             analysis workflows.



                                                     In a Nutshell
                                                     In a Nutshell

        •    Data science is a domain which employs various methods and theories of various fi elds such as Mathemati cs,
             Stati sti cs, Computer Science, and Informati on Science.
        •    Data Science can be widely used in developing AI applicati ons because it gives a strong base for data analysis
             in Python.
        •    Stati sti cal measurers such as Mean, Median, Mode, Standard Deviati on, and Variance, are generally used to
             analyse data.
        •    CSV is an acronym of Comma Separated Values which allows data to be saved in a tabular format.
        •    NumPy, an acronym of Numerical Python, is the fundamental package for scienti fic computi ng with Python.
        •    Pandas is a popular Python package for data science because it offers powerful, expressive and flexible data
             structures that make data manipulati on and analysis easy, among many other things.
        •    Matplotlib, one of the most popular Python packages used for data visualisati on, has a library for making 2D
             plots from data in arrays.
        •    A Line plot or a line chart is used to visualise the relati onship between two variables by connecti ng data
             points with straight lines.
        •    Scatt er plots use multi ple pairs of two variables – X and Y, represented by dots to represent the relati on
             between the two variables.

        •    AI models can be created using High Code, Low Code, or No Code approaches.
        •    Some common No Code AI platf orms are Microsoft  Azure ML Studio, Google AutoML, DataRobot, and
             Orange Data Mining.





                                                  S Solvedolved QQuestionsuestions

        A.   Tick () the correct answer.

            1.  What is Data Science primarily concerned with?
                 a.  Baking

                 b.  Interdisciplinary field combining statistics and machine learning
                 c.  Painting

                 d.  Astrophysics
            2.  What is the purpose of a Scatter Plot in data visualization?

                 a.  Show relationships between two variables
                 b.  Display a list of scattered items

                 c.  Hide data points
                 d.  Predict the future




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