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• Not suitable for data with many features or parameters.                                                                                                               Exercise
                 • Occupies a lot of memory space as it stores a lot of training data needed for the smooth functioning of the
                 algorithm.                                                                                                                                                          Solved Questions



                            Reboot                                                                                                                uiz                        SECTION A (Objective Type Questions)


                   1.  What is Personality Prediction?
                                                                                                                                            A.  Tick ( ) the correct option.
                                                                                                                                                1.  Which of the following feature Facebook uses to suggest you people to tag, when you upload a picture?

                   2.  What is K-NN algorithm?                                                                                                    a.  Data Science                                   b.  NLP
                                                                                                                                                  c.  Image Recognition                              d.  Supervised Modelling
                                                                                                                                                2.  What does CSV stand for?
                                                                                                                                                  a.  Comma Separated Values                         b.  Common Selected Values

                                                                                                                                                  c.  Common Significant Values                      d.  Comma Section Variables
                                                                                                                                                3.  Which of the following is used for data analysis and calculation related to large numerical data sets?
                                                                                                                                                  a.  Pandas                                         b.  NumPy
                        At a Glance                                                                                                               c.  Packages                                       d.  Modules


                    • Data Science is the process of using the skills of programming, mathematics and statistics together to find               4.  Which among the following is the most frequent value in a given dataset?
                    meaningful information from the given data.                                                                                   a.  Mean                                           b.  Median

                    • The companies use data to improve their products. Data Science is used to give the right direction to the                   c.  Mode                                           d.  Variance
                    companies to achieve their goals.
                                                                                                                                                5.  Which of the following is the measure of dispersion of a set of data from its mean?
                    • The companies use data to improve their products. Data Science is used to give the right direction to the
                    companies to achieve their goals. Data analysis provides an insight to the collected data, it adds value to the               a.  Mean                                           b.  Mode
                    dataset. It helps AI machines in the process of predictions and suggestions.                                                  c.  Variance                                       d.  Standard deviation
                    • Data  Science  is  using  a  combination  of  Python  and  Mathematical  concepts  like  Statistics,  Data  Analysis,      6.  The ………………………. the dispersion of the data, the greater is the standard deviation.
                    probability, etc.                                                                                                             a.  Higher                                         b.  Lower
                    • After the data is collected through different methods, this data needs to be accessed through Python code so                c.  Equal                                          d.  Not equal
                    that it can be arranged in a structured manner and analyzed as required by AI model.
                                                                                                                                                7.  Which of the following means how far each number in the given dataset is from the mean value?
                    • Python with supported libraries like NumPy, Matplotlib etc. have a lot of pre-defined functions that implement
                    Mathematical statistics without getting into the hassle of doing the calculations and creating the formulas or                a.  Mean                                           b.  Median
                    equations to find out the results.                                                                                            c.  Variance                                       d.  Mode
                    • The graphical representation of the data in a data set to identify patterns and trends out of it is called data           8.  Which among the following is a circular representation of data where each slice shows the relative size of the data?
                    visualisation.                                                                                                                a.  Bar chart                                      b.  Column chart
                    • Personality Prediction Project identifies the personality of an individual using machine learning algorithms                c.  Histogram                                      d.  Pie chart
                    and big 5 models.
                                                                                                                                                9.  Which among the following is used to solve both classification and regression problems?
                    • K-Nearest  Neighbour  Model  is  a  supervised  machine  learning  algorithm  based  on  supervised  learning               a.  KNN                                            b.  Modelling
                    technique. It stores all the available cases and classifies a data point based on how its neighbours are classified.
                                                                                                                                                  c.  Data visualization                             d.  CNN

                                                                                                                                               10.  Which among the following means the values in a dataset are not received as per the expectations in that position?
                                                                                                                                                  a.  Spreadsheets                                   b.  SQL
                                                                                                                                                  c.  Missing data                                   d.  Erroneous data



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