This project develops a predictive model to estimate diamond prices based on characteristics like carat, cut, color, and clarity. It covers data preprocessing, feature engineering, model selection, training, and evaluation. The final product is a web app where users can input diamond attributes to get accurate and instant price predictions.
css python html machine-learning cross-validation eda data-visualization model-selection data-analysis user-interface feature-engineering predictive-modeling jupyter-notebooks hyperparameter-tuning performance-optimization model-deployment ml-algorithms data-science-projects python-app
- Updated
Sep 20, 2024 - C