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Modeling Diamond Prices with Linear Regression
Regression Analysis of Diamond Prices: Using descriptive statistics, visualizations, and regression modeling on the Kaggle Diamonds dataset, this project identifies key predictors such as carat, cut, color, and clarity. Techniques including transformations, assumption testing, and model selection (AIC, VIF) highlight the most significant factors driving price, providing both statistical insights and real-world implications for valuation.
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