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After analysing the data, you notice a pattern: students who are not responsible at school
                     also tend to leave lights and fans on at home.

                     Answer these questions:

                     1.  How many students are responsible at both school and home?
                     2.  Who uses the most appliances daily?

                     3.  What pattern do you notice between responsibility at school and at home?
                     4.  What suggestions do you have to reduce electricity usage both at school and at home?






                               Reboot

                     Match the following:

                         Column A                                  Column B
                     1.  Zoho Analytics                        a.  Primary Source of Data

                     2.  Kaggle                                b.  Types of Data

                     3.  Surveys                               c.  Data Visualisation Tool

                     4.  Audio, Numerical                      d.  Secondary Source of Data






                          Modelling


                  Data  Modeling  refers  to  the  process  of  developing  decision-making  algorithms  that  are
                  trained on the dataset gathered during the data acquisition phase, following the problem defined
                  in the problem-scoping phase. These algorithms learn to detect particular patterns within the
                  data.

                  Once the data has been visualised and patterns identified, the focus shifts to building the AI
                  model by applying these algorithms. This can be achieved either by creating new models or by
                  leveraging existing AI models.

                  AI modelling involves creating algorithms called models that are designed to learn from data and
                  make intelligent decisions or predictions. This process essentially means programming machines

                  to  simulate  human  thinking  and  problem-solving  abilities.  By  developing  these  models,  we
                  enable AI systems to perform tasks that require reasoning, understanding, and adaptability.
                  AI modelling techniques can be broadly classified into two approaches, namely, rule-based and

                  learning-based.






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