Linear Regression Analysis fits a straight line between dependent variable and one or more independent variables. It is used for predicting the dependent variable using independent variables. In this section, Linear Regression analysis will be performed using some of the Python’s libraries/modules such as ‘Panda’, ‘Scikit-Learn’, ‘Numpy’, ‘MatPlot’ and ‘Statsmodels’.
Entity Resolution is the process of linking and grouping of constituting records for entities. For an organization, the most important entities are people (customers, employees, contractors), assets (transferable, non-transferable), products (tangible, intangible) and geography (locations, maps, boundaries). Every instance of an entity will have one or more identifying attributes. For
An Organization’s biggest asset is their data about their customers and resources. Banks have a plethora of information about their customers’ transactions, choices and inclinations. The best application of this information would be to enhance the customer experience through gaining incremental insights about them. To achieve this objective, Organizations need