Data Mining Project: Data Analysis and Modeling of Hospital Data

This project involves a comprehensive data mining exercise using hospital data. The assignment requires importing data from a delimited file, performing data cleaning and validation, and splitting the data into training and testing sets. Students are tasked with implementing a chosen machine learning model (regression, Naive Bayes, clustering, k-NN, or other approved models) using the training data and evaluating its performance on the test data. The project also involves data visualization and a written explanation of the business problem being addressed and the rationale behind the model selection. Bonus credit is offered for creating a database and using R-Shiny for a more elaborate user interface. The submission includes the data file, code for data splitting, model implementation, evaluation, and visualization, as well as a screenshot of the visualization and a brief description of the project and the business problem being solved.