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.  A researcher  ants to study the association bet een gender and usage of mobile
                 phone. Data collected for this study  ill be       .                            ample  aper,
                  a.   ualitative data                           b.    uantitative data
                  c.   ontinuous data                            d.    lassified data

               .   rimary  ay to collect DA A  Data  athering process)                           ample  aper,
                  a.    periment                                 b.    urvey
                  c.  Intervie                                   d.   Observation

               .   he data scientist  ill use         for predictive modelling.                  ample  aper,
                  a.  Artificial Intelligence                    b.    achine  earning
                  c.   raining  et                               d.   Deep  earning

               .   hich one does  O  belong to  lassification loss                               ample  aper,
                  a.   og loss                                   b.    ean Absolute  rror
                  c.    ponential  oss                           d.    inge  oss

               .   hich process does  O  come under  apstone  ro ect                             ample  aper,
                  a.  AI  odel                                   b.   AI  ro ect  ycle
                  c.  Deployment                                 d.   Data  athering

               .   hich one does  O  belong to  egression loss                                   ample  aper,
                  a.   og  oss                                   b.    ean Absolute  rror
                  c.   og cosh  oss                              d.    uantile  oss

               .  Adding a non important feature to a linear regression model may result in.          ample  aper,
                  i.  Increase in   square
                  ii.  Decrease in   square
                  a.  Only   is correct                          b.   Only   is correct
                  c.   ither   or                                d.    either   nor
               .   hich of the follo ing options is are true for   fold cross validation           ample  aper,
                  i.  Increase in    ill result in higher time required to cross validate the result.
                  ii.   igher values of    ill result in higher confidence on the cross validation result as compared
                     to lo er value of  .
                  iii.  If    , then it is called  eave one out cross validation,  here   is the number of observations.
                  a.    and                                      b.     and

                  c.    and                                      d.    ,   and

        B.   Fill in the blanks.
              .    he               technique is used for evaluating an AI model and splits the dataset into t o sets.
              .   A               AI model is used to forecast trends for a product.

              .   A               is a set of historical data in  hich the outcomes are kno n beforehand.
              .                 is the sum of squared distances bet een our actual values and predicted values.

              .   A               determines ho   ell a certain algorithm models the data.
              .                 focuses on building either descriptive or predictive models.
              .    he ability to  predict   hat might happen is the foundation of   .

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