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
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Updated
Sep 20, 2024 - C