https://www.kaggle.com/datasets/swatikhedekar/price-prediction-of-diamond

This project focuses on predicting diamond prices using regression techniques in Python. It involves analyzing key features such as carat, cut, color, clarity, and dimensions to build an accurate price prediction model. The workflow includes data preprocessing, exploratory data analysis, feature engineering, and training regression models to understand how different attributes influence diamond pricing. The model helps estimate market value and supports data-driven pricing decisions