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Showing posts from January, 2024

Initial Digital Model of London Underground Stations

  Scenario: You are required to design a class to hold details of a metro station, including the number of tickets sold.   The station should have the following properties: Property Name Examples Validation Public Accessors Name “Aldgate” “Barbican” Not “” Get Set Line “District” “Central” Not “” Get Set TicketsSold 1234 0 to 999999 Get   Examples of names and lines can be found at https://en.wikipedia.org/wiki/List_of_London_Underground_stations   .   The Station class should have a public   method sellTicket()   which adds 1 to the TicketsSold property. Task 1: Draw a class diagram showing the Station class – you might want to use draw.io to produce the diagram, paste your diagram into the box below: Task 2: Implement your Station class in c# and paste the source...

Medical Insurance Cost Prediction – Regression Model Comparison Report

  This Report Generally reflects the report for the Medical Insurance Cost Prediction using different regression model. Here you can find the file:             Medical Insurance Cost Prediction     Medical Insurance Cost Prediction – Regression Model Comparison Report   Introduction   In this report, we present an analysis of medical insurance cost prediction using Regression Model. We explored the performance of three different regression models: ·          Linear Regression Model ·          Lasso Regression Model ·          Ridge Regression Model Data Preparation   “ Dataset – Medical Insurance Cost Prediction.csv ”  is consist of seven different columns ( age, sex, bmi, children, smoker, region, charges) in which charges is the target variable and rest are features which gives impact in insurance charg...