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C.   State whether the following statements are true or false.

              .    odelling is usually the most time consuming procedure in a data science pro ect.
              .    ross  alidation technique divides the provided dataset into t o subsets training set and test set.

              .    he problem solving methodology is iterative in nature.
              .    here are t o types of loss functions regression losses and classification losses.
              .   In the Ideate stage of the D  process, conduct research  intervie s, polls, etc.) to better
                 understand your users.


                                          SECTION B (Subjective Type Questions)
        A.   Short answer type questions.
              .   Define the follo ing D  stages
                  a.   mpathise
                  b.  Ideate
                  c.   rototype

              .   Differentiate bet een training set and test set.
              .    hat is a capstone pro ect   ive fe  e amples.

              .     very pro ect starts  ith a business understanding.   omment.
              .    riefly e plain the t o splitting techniques used for evaluating the effectiveness of an AI model.

        B.   Long answer type questions.

              .    o  are     and      related   hat is their range  Are they sensitive to outliers
              .    hat is  roblem Decomposition   ist the steps of decomposing a coding problem.

              .    ame all the stages of the problem solving methodology.
              .    hich factors play a role in the selection of a loss function for a mode

              .    ist the types of analytical approaches in choosing a model.


                   ency-b
           Compet
                                            ased questions:
        C.  Competency-based/Application-based questions:
                         ased/Application-b
              .    aideep is studying linear regression.  e studies that residuals are errors.  o ever, he is confused about their
                 purpose.   o  can errors have a purpose  , he questions.   plain the importance of residuals to  aideep.
              .   Ishita has a small dataset consisting of only     ro s.  hich training and testing technique should she use   ive
                 reasons for your choice.


        Previous Years’ Questions


               .  All the  algorithms  in machine learning rely on minimi ing or ma imi ing a function, called as          ..

                  a.  Ob ective function                         b.   ocal  oss
                  c.   oss function                              d.   radient Descent
            Ans.  a.   Ob ective function





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