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Time Study      Marks                                       Marks
                                                  70
                        5            20
                                                  60
                        1             7                                      y = 6.9797x  - 7.4985
                                                  50
                       3.2           12
                        8            55           40
                        7            60         Marks Scored  30
                       3.3           18           20
                       6.5           30           10

                        4            18
                                                   0
                        5            22              0      1      2      3      4      5      6      7      8      9
                                                 -10
                        7            32                                      No. of Hours Studied

                 The graph is showing a positive trend which means that if the student studies more number of hours, the
                 student scores more.
                 So, both are positively related.
                 Prediction of marks using the linear regression equation

                 if no. of hours is 12, then marks will be
                 y =6 .9797(12) - 7.4985 = 76.258 (marks)
              4.  You have been asked to develop a Smart Student Grading System for your school. For developing this
                 system:
                 a.  Set goals                                   b.  Identify the stakeholders

                 c.  Identify the existing measures              d.  Identify the ethical concerns
                 e.  Identify the data needs                     f.  Identify the sources of data
                 g.  Visualise mock data

              5.  For this project, collect the marksheets of five of your classmates. Use Data Visualisation tools (plots) in
                 Python for showing these marksheets on the computer screen. Which of these tools provides the best
                 visualisation for your data? Why?
              6.  You have been asked to design a chatbot for an online shopping website. What different processes will
                 be involved in developing this chatbot and what features will you include?
              7.  Consider a scenario of sudden downpour. This is a problem faced by people a lot of times. People wash
                 clothes and put them out to dry but due to unexpected rain, their work gets wasted. So, an Al model has
                 been created to predict whether it will rain or not. The confusion matrix for the same is given as:

                           The Confusion Matrix                                 Perdition

                                             Yes                      Yes                          No
                         Actual                                        5                           45
                                             No
                                                                       0                           50
                 a.  Solve the scenario with regard to today's competitive world and challenges faced by people.

                 b.  Which method could be used to address the stress and to achieve good results?

                 c.   Also find the evaluation parameters-Accuracy, Precision, Recall and F1 Score for the given scenario.
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