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dominance-analysis / dominance-analysis

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This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

feature-selection logistic-regression feature-engineering regression-models predictor multiple-regression feature-importance classification-model relative-importance dominance-analysis r-square shapley-value keydrivers dominance dominance-statistics predictor-importance pseudo-r-square
  • Updated Aug 17, 2023
  • Python

saboye / predicting-sales-performance

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project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.

python linear-regression f-statistics p-values r-square r-squared
  • Updated Dec 21, 2022
  • Jupyter Notebook

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