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4.  What type of tool is Orange?

                    a.  Open-source                                    b.  Closed-source
                    c.  Paid soft ware                                 d.  Hardware

                5.  What type of data can be imported into Orange?
                    a.  CSV                                            b.  Excel

                    c.  SQL databases                                  d.  All of the above
                6.  Which Python library should be imported in a program to work with CSV files?

                    a. NumPy                                           b.  Pandas
                    c. Matplotlib                                      d.  CSV
                7.  Which function in the Pandas library in Python lets you sort the list of values in a dataframe object?

                    a.  dataframeobject.arrange_values( )              b.  dataframeobject.drag_values( )

                    c.  dataframeobject.sort_values( )                 d.  dataframeobject.fi lter_values( )
                8.  Which of the following widgets is present under the Visualize category in Orange Data Mining tool?
                    a.  Test and Score widget                          b.  Scatt er Plot widget

                    c.  Decision Tree widget                           d.  Data Table widget
            B.  Fill in the blanks.

                1.  _____________ approach is becoming increasingly popular due to its accessibility and efficiency.
                2.  ____________functionality allows users to easily manipulate data and build models.
                3.  _____________tools  normalise  access  to AI technologies, enabling  business  analysts,  non-technical
                   users to take advantage of AI’s capabilities.
                4.  ____________ is a program offered by Microsoft to build, train, and deploy machine learning models
                   using drag and drop functionalities.
                5.  _______________ technique is fundamental in statistical analysis as it enables us to draw conclusions
                   without needing to collect data from every single member of the population.
                6.  ___________ is a branch of statistics that aims to summarise and organize data in such a way that it
                   provides a clear overview of its main characteristics.
                7.  ___________  widgets are essential  for importing  datasets from various  sources into the system for
                   analysis and modeling.
                8.  _________ widgets are used for exploring the data and help perform different operations on data in the
                   Orange Data Mining app.

            C.   State ‘T’ for True or ‘F’ for False statements.

                1.  CSV is an acronym for Comma Separated Variables, which allows data to be saved in a
                   tabular format.
                2.  Pandas is a Python package for data science that offers only one main structure, either
                   Series or DataFrame.

                3.  Matplotlib is a popular Python package used for data visualisation, written in Java.
                4.  Data Projection widget in Orange helps to evaluate the performance of machine learning models.
                5.  You cannot relate AI project stages to the stages of No-Code AI projects.


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