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    Regression is mainly used to make predictions about numbers, such as estimating costs, sales or
                      grades. It helps in making informed decisions based on past data.

                      INTRODUCTION TO CLUSTERING

                      Clustering  is a  method  in  AI where data  is  grouped  together  based  on  similarities.  Unlike
                      classification,  clustering  doesn't  need  labels  to  start  with. Instead,  it  looks  at  patterns  and
                      behaviours in the data, then automatically forms groups based on those similarities.

                      Imagine you have a photo application that can automatically organise your pictures. It might
                      group photos by people or locations, such as creating albums for Holiday in Paris or Family Photos,
                      without needing you to label each picture.

                      Another example is weather data. Clustering could group days into categories like hot, cold or
                      rainy based on factors like temperature and rainfall. The app or system doesn't need to know the
                      labels beforehand but learns to group the data based on patterns it finds.

                      Clustering helps find hidden patterns in data that may not be obvious at first, making it easier to
                      understand complex information and organise it more effectively.

                      DATASETS

                      Datasets refer to organised collections of data used to train and assess machine learning models.
                      These datasets provide the necessary information for models to recognise patterns and make
                      predictions, which are essential for the development of AI and machine learning. They enable
                      researchers and professionals to address various real-world challenges, including speech, image
                      recognition, predictive analytics and natural language processing.

                      Each individual unit within a dataset is known as a data point or record with several attributes or
                      features. Datasets are usually organised in tables, charts and spreadsheets, allowing easy access
                      to information and supporting accurate data-driven decision-making.

                      Types of Datasets

                      Datasets can be categorised in two main ways:

                        Based on data format

                       10        Artificial Intelligence (CT & AI)-VII

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