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Using Python I built a house price prediction model. By analyzing various factors like Income, total rooms, total bedrooms, and other features. I processed and cleaned the data, performed feature engineering, and trained a machine learning algorithm to make accurate predictions.
R-based dashboard that explores the cost of living of different cities for new college graduates. Types of graphs and widgets include bar graphs, maps, and drop down menus.
CustomerLoanGraphs is a dynamic web application built in Java that consists of a dual role system of Admin and User. Where in the Admin can manipulate data on bank customers and their loans. But the Users can only view the data in the form of pictorial representations (Bar Graphs). This project is developed using Spring & Hibernate.