Page 244 - Ai Book - 10
P. 244

3.  What does the ‘head()’ function in Pandas do?
              Ans.  Displays the top rows of a DataFrame.
                4.  What does a Scatter Plot visualize?

              Ans.  Distribution of numerical data.
                5.  Which canvas in the AI project framework focuses on the technology used?
              Ans.  ‘Who’ canvas.

                6.  What is the primary purpose of the ‘Why’ canvas in AI project management?
              Ans.  Identifying project objectives.
                7.  In statistics, what does the term ‘mean’ refer to?

              Ans.  Average of a dataset.
                8.  What is the primary use of a Histogram?
              Ans.  Displaying the distribution of numerical data.

            E.  Short answer type question.
                1.  What is the ‘Define’ phase in the AI project framework?

              Ans.  The ‘Define’ phase  involves clarifying the project objectives,  scope, and  understanding  stakeholder
                   requirements.
                2.  What does the ‘When’ canvas in AI project management address?
              Ans.  The ‘When’ canvas focuses on project timelines, milestones, and the scheduling of tasks during the AI
                   project lifecycle.

                3.  Why is data visualization crucial in Data Science?
              Ans.  Data visualization  helps communicate  complex insights clearly,  making it easier  for stakeholders to
                   understand and make informed decisions.
                4.  What is an outlier in data, and why is it important to identify them during data visualization?
              Ans.  An outlier is an unusually extreme data point, and it’s crucial to identify them as they can distort statistical
                   analyses and machine learning models.
                5.  How can you handle empty values in a dataset, and why is it necessary to address them before training
                   an AI model?

              Ans.  Empty values can be deleted or filled, and addressing them is essential to prevent inaccurate predictions
                   and biased outcomes in AI models.
                6.  In Data Science, what does the term ‘feature’ refer to?
              Ans.  A ‘feature’ is a measurable property or characteristic of data used to train machine learning models and
                   make predictions.

                7.  How does the ‘Where’ canvas contribute to AI project planning?
              Ans.  The ‘Where’ canvas defines the physical and virtual locations where the project activities will be carried
                   out, ensuring a structured work environment.
                8.  What is the primary purpose of the ‘Why’ canvas in AI project management?
              Ans.  The ‘Why’ canvas helps identify and define the overarching goals and objectives of the AI project, aligning
                   the team with a clear sense of purpose.




                118
                118
   239   240   241   242   243   244   245   246   247   248   249