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diamonds-dataset

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hardikasnani / diamond-price-and-carat-prediction

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I leveraged an algorithmic approach to predict the price and carat of the diamond using Machine Learning. Various regression models have been trained and their performance has been evaluated using the R Squared Score followed by tuning of the hyperparameters of top models. I have also carried out a trade-off based on the R Squared Score and the …

machine-learning ridge-regression multivariate-regression lasso-regression run-time random-forest-regression trade-off diamonds-price-prediction r-squared diamonds-dataset cross-validation-grid-search hyperparamter-tuning diamonds-carat-prediction
  • Updated Jul 8, 2022
  • Jupyter Notebook

Cyberoctane29 / Diamonds-ANOVA-Analysis

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This project uses ANOVA in Python to analyze how diamond color and cut affect pricing. By testing for statistical significance and running post hoc comparisons, it reveals key pricing patterns. Built with pandas, statsmodels, and Seaborn, the findings help inform diamond valuation and purchasing decisions.

data-science statistical-analysis data-analytics data-analysis regression-analysis tukey-hsd anova-test diamonds-dataset
  • Updated Apr 8, 2025
  • Jupyter Notebook

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