Machine Learning-Powered Diamond Valuation
An interactive Shiny web application that predicts diamond prices based on their characteristics using advanced machine learning algorithms. Built for the Johns Hopkins Data Science Course.
Interactive diamond price predictor with real-time calculations
5-slide presentation explaining the project and methodology
Complete R Shiny application code and documentation
Real-time price estimation based on carat, cut, color, and clarity with 91.6% model accuracy
Interactive charts showing price distributions and comparisons with similar diamonds
Built-in explanations of diamond characteristics and market factors for novice users
Modern, responsive design with comprehensive documentation and user guidance