raider2908 / Traditional-Conjoint-Analysis-with-Python

Linear Regression estimation of the parameters to turn a product-bundle-ranking into measurable partsworths and relative importance

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Traditional-Conjoint-Analysis-with-Python

Linear Regression estimation of the parameters to turn a product-bundle-ranking into measurable partsworths and relative importance

Requirements: Numpy, pandas, statsmodels

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Linear Regression estimation of the parameters to turn a product-bundle-ranking into measurable partsworths and relative importance


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Language:Jupyter Notebook 86.1%Language:Python 13.9%