Hey everyone!
In this blog, we’ve explored Quantile Regression , its mathematical foundation, how it differs from Multiple Linear Regression, key evaluation metrics, advantages, disadvantages, and common pitfalls/mistakes.
As a bonus, we’ve also discussed Bayesian Quantile Regression and how it introduces uncertainty into the model.
You can read the full blog here:
Quantile Regression Analysis
This repository contains the code and visualizations used in the analysis.
Feel free to explore, experiment, and learn!