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8.  Unsupervised Learning is divided into the following two categories. Identify the correct one.    [2022]
                     a.  Rule-based and Learning-based              b.  Classification and Clustering

                     c.  Clustering and Dimensionality Reduction      d.  Classification and Regression

                   9.   The 4 Ws Problem canvas helps in identifying the key elements related to the problem. 4 Ws Problem canvas is a part of:
                                                                                                                    [2022]
                     a.  Problem Scoping                            b.  Data Acquisition

                     c.  Modelling                                  d.  Evaluation
                  10.   The ................................ block of 4 Ws Problem canvas helps in analysing the people getting affected directly or indirectly
                     due to it.                                                                                     [2022]

                     a.  Who                                        b.  What
                     c.  Where                                      d.  Why

                  11.  During Data Acquisition feeding previous data into the machine is called:                    [2022]

                     a.  Training Data                              b.  Predicting Data
                     c.  Testing Data                               d.  Evaluating Data

                  12.   ................................ is one of the types of Supervised Learning Model, where data is classified according to labels and data
                     need not to be continuous.                                                                     [2022]
                     a.  Regression                                 b.  Classification

                     c.  Clustering                                 d.  Dimensionality reduction

                  13.   Evaluation is the process of understanding the reliability of any AI model, based on outputs by feeding test dataset into
                     the model and comparing with actual answers. Therefore it must be followed by:                 [2022]

                     a.  Problem Scoping                            b.  Data Acquisition

                     c.  Data Exploration                           d.  Modelling
                  14.  Classification and Regression are ................................ and approach followed is ................................   [2022]

                     a.  Supervised, Learning                       b.  Unsupervised, Learning

                     c.  Reinforcement, Learning                    d.  Supervised, Rule-based
                  15.   ................................ refers to the unsupervised learning algorithm which can cluster the unknown data according to the
                     patterns or trends identified out of it.                                                       [2022]

                     a.  Regression                                 b.  Classification
                     c.  Clustering                                 d.  Dimensionality Reduction

                  16.   Choose the correct option describing the features of Neural Network. These are systems modelled on Human Brain and
                     Nervous System:                                                                                [2022]
                      i.  It is essentially a machine learning algorithm.

                      ii.  It is useful when solving the problems for which the data set is very large.








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