How Shopify Capital Uses Quantile Regression To Help Merchants Succeed - Shopify

This post details the application of quantile regression for predicting merchant sales and assessing cash advance eligibility. It explains how quantile regression differs from standard regression by fitting conditional quantiles rather than just the mean, providing a measure of confidence in predictions. The post uses examples of linear regression and wine quality prediction to illustrate the concept and its practical application in managing risk for both merchants and Shopify.