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Retail Segmentation Based Marketing Campaing In R And H2o ⭐ 51

Showcase for using H2O and R for scoring for marketing campaign in retail

Three fast ROC AUC calculation implementations for python

Modelmetrics ⭐ 26

Rapid Calculation of Model Metrics

Computationally efficient confidence intervals for cross-validated AUC estimates in R

Supervised Machine Learning ⭐ 15

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using Lasso and Ridge regressions.

Machine Learning Rare Event Classification ⭐ 7

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

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