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9.  Define Model Widgets.

                 10.  What is Google Cloud AutoML?
                 11.  Write any three benefits of no-code tools.

                 12.  Write any two applications of data science.



                               In Life                                        21 st  Century   #Critical Thinking
                                                                                      #Leadership & Responsibility
                                                                                  Skills
                 Statistical analysis powered by AI is not just about numbers and trends; it’s about understanding the patterns of
                 human behaviour, health, society, and even our environment. Every time we use an app, purchase something online,
                 or even interact on social media, AI is silently observing our choices, learning from them, and predicting what might
                 happen next. But here's the big question: How much of our lives do we want AI to control or influence based on
                 statistical analysis? Should we rely on these predictions to guide our decisions, or is there a danger in allowing
                 algorithms to shape the way we think and act?




                             Deep Thinking                                                21 st  Century   #Critical Thinking
                                                                                              Skills


                   How does the integration of AI in statistics revolutionize decision-making and operational efficiency across diverse
                   sectors, and what are the transformative real-world applications of AI-driven statistical models in industries like
                   healthcare, finance, and marketing?


                                                                                       21 st  Century   #Information Literacy
                                                                                          Skills
                              Lab



                        1.  In  the  US  Adult  Income  dataset,  you  want  to  predict  whether  a  person  earns  more  than  $50K
                          annually  based  on  various  demographic  features  such  as  age,  education  level,  marital  status,
                          occupation, and hours worked per week. Since income (more or less than $50K) is the output (what
                          you're trying to predict), it should be set as the label.

                           Download the Dataset: https://www.kaggle.com/datasets/johnolafenwa/us-
                          census-data

                        2.  In the YouTube Adview dataset, you want to predict the number of views an ad
                          receives based on various features like video length, ad type, targeted audience, and the time the
                          ad was posted. Since the number of views is the output (what you're trying to predict), it should be
                          set as the label.
                           Download the Dataset:  https://www.kaggle.com/datasets/mohdshahnawazaadil/
                          train-and-test-data-set




              Answers

              Exercise (Section A)
              A.    1.  b   2.  b   3.  b    4.  b    5.  c     6.  b     7.  b    8.  b     9.  d   10.  c


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